9339 Kafka Jobs - Page 45

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Python Developer Skills: P ython, Aws, flask/Api/Django Experience: 5 - 12 Years Location: Only greater Noida Notice Period: Only Immediate to 1 month Work Mode: 5 days Work from office Design and implement scalable back-end services using Python (Django/Flask/FastAPI). Build and maintain responsive front-end applications using React.js. (This is good to have) Integrate and manage real-time data pipelines using Apache Kafka. Collaborate with DevOps, QA, and other developers in an Agile/Scrum environment. Optimize application performance, security, and scalability. Write clean, maintainable code and participate in code reviews. Design and consume RESTful APIs and integrate with external/internal services. Troubleshoot and resolve production issues effectively. Work with SQL/NoSQL databases such as PostgreSQL, MongoDB. Experience with CI/CD tools like Jenkins, Git, Docker, and deployment on AWS cloud Preferred Skills: Strong understanding of Python web frameworks (Django, Flask, or FastAPI). Experience with Apache Kafka for building event-driven and real-time applications. Familiarity with containerization and cloud-native development

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Position Overview Job Title : Full Stack developer Location : Pune, India Role Description Build and support applications as full stack developer - Java, React (Primary), micro services, Sql. Need strong React skills. End to end technical design, development, stabilization, and enhancement of distributed applications. Collaborate with architect, business analyst, developers, and SCRUM master to deliver suitable solution which can cope with the business need. Good understanding of Kafka and other messaging platforms. GCP experience – to help onboard apps to GCP. Ensure a high-quality standard of deliverables according to Industry standards and best practices. Prepare project-related documentation – Confluence, JIRA updates, provide support on compliance and audit checking Project relevant documentation, ensure compliance and audit policies are strictly followed. Provide professional consultancy and support in response to the queries from developers and business on security access Work closely with global and regional stakeholders and global development team on mandatory / regulatory / development projects. Ensure systems complying with group infrastructure and security policies and standards. Experience of working in a multicultural environment demonstrable ability to adapt to different cultures. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Lead developer full stack (Java, Microservices, React primarily). Should be able to review code and help the team. Integrate with CI/CD pipeline , sonar scan and unit test coverage. Hands on experience on various technologies and should be able to lead the team on technical architecture. Collaborate with global stakeholders and business partners for application /product delivery. Experience of grooming and leading the team. The role is expected to carry strong technical, programming, analytical and troubleshooting skills. Ability to bring in strong Engineering culture within the team with CI/CD, Sonar scans and one click deployments. Responsible for providing Level 3 production support, change management for the assigned applications. Need to be able to diagnose/triage/resolve production incidents. Need to work with vendor products within Bank and be able to design/develop/enhance applications/product. Responsible to help with hiring activities, talent management. Your Skills And Experience Hands on experience with technologies such as – Java and React JS primarily and knowledge of Springboot , Kafka, Cloud, DevOps , Unit testing tools like Junit. Strong agile skills with running app Dev , Dev Ops. Expertise on build tools – Jenkins , Git , TeamCity, GitHub Actions. Functional expertise working in a financial bank domain would be huge benefit. Strong team player who also can work under pressure, independently and proactively while balancing competing priorities to achieve results on complex new development and integrations. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, dbt, Google Cloud Forbes Advisor is Looking for: Job Title: Lead Data Engineer Company: Forbes Advisor Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. What you’ll do: Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication Set and enforce strong engineering practices around code reviews, testing, observability, and documentation Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer) Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs Ensure data security, compliance, and scalability — especially around first-party customer data Mentor junior engineers through code reviews, pairing, and technical roadmap discussions What You Bring: 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow Deep experience working in GCP, especially BigQuery, GCS, and Composer Strong SQL skills and familiarity with DBT for modeling and documentation Clear understanding of data privacy and governance, including how to safely manage and segment first-party data Experience working in agile environments, including sprint planning and ticket scoping Excellent communication skills and proven ability to work cross-functionally across global teams. Nice to have: Experience leading data engineering teams in digital media or performance marketing environments Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4) Exposure to BI tools like Tableau or Looker Experience collaborating with data scientists on ML workflows and experimentation platforms Knowledge of data contracts, schema versioning, or platform ownership patterns Why Join Us: Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first culture with flexibility and trust Leadership role in a fast-growing global data team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Airflow, dbt, Google Cloud Forbes Advisor is Looking for: Job Description: Senior Data Engineer Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design — all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics. The Role We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business. What You’ll Do Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems Model data using dbt, with an emphasis on quality, reuse, and documentation Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics Write high-performance SQL and support analytics and reporting teams in self-serve data access Monitor and improve data quality, lineage, and governance across critical workflows Collaborate with engineers, analysts, and business partners across the US, UK, and India What You Bring 4+ years of data engineering experience, ideally in a global, distributed team Strong Python development skills and experience Expert in SQL for data transformation, analysis, and debugging Deep knowledge of Airflow and orchestration best practices Proficient in DBT (data modeling, testing, release workflows) Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus Strong grasp of data governance, observability, and privacy standards Excellent written and verbal communication skills Nice to have Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4) Familiarity with BI tools like Tableau or Looker Exposure to attribution models, media mix modeling, or A/B testing infrastructure Collaboration experience with data scientists or machine learning workflows Why Join Us Monthly long weekends — every third Friday off Wellness reimbursement to support your health and balance Paid parental leave Remote-first with flexibility and trust Work with a world-class data and marketing team inside a globally recognized brand How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!