3827 Databricks Jobs - Page 10

Pay Range: 18 - 30 LPA (INR) Required Skills & Experience 7+ years' experience with database engineering - building out and deploying pipelines, ideally working with financial data. 2+ years’ experience working with Azure applications (Azure Data Factory, Azure Batch, Azure SQL Server, Azure Data Warehouse, Azure Databricks etc.) and building out Azure pipelines. 2+ years; experience working with Azure Databricks. 1+ year of experience working in an Agile environment. Experience creating PowerBI reports. 2+ years' experience with Snowflake. 2+ years' experience with Python, PySpark & SQL. 2+ years' experience with infrastructure administration. Working knowledge of CI/CD. Working knowledge of building data integrity checks as part of delivery of applications. Nice to Have Skills & Experience Retail and/or e-commerce background; experience working for a multi-channel retailer. Job Description A large, North American, retail company is seeking an Azure Data Engineer in Bangalore, India. You will be joining our client’s FP&A Team, focusing on their Finance Data Hub (FDH). The FDH hosts all of our client’s sales data, inventory data, PNL data, financial data, etc. FDH houses Oracle RMS, Oracle EPM, and Oracle EBS and the Data Engineer will integrate data coming from these 3 systems, into the FDH. Owning data pipelines that gather data coming from multiple sources and consolidating that data for different use cases. Lead development and maintenance of data science and analytics processes, procedures, and policies. Lead identification, design, and implementation of integration, modelling, and orchestration of complex data. Act as subject matter expert for data engineering needs. Understanding of modern data platforms including data lakes and data warehouse, with good knowledge of the underlying architecture, preferably in Snowflake.

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM Required Experience: 10+ years as a hands-on Solutions Architect and/or Data Engineer designing and implementing data solutions Team lead, and/or mentorship of other engineers Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration. Programming expertise in Java, Python and/or Scala Core cloud data platforms including Snowflake, Spark, AWS, Azure, Databricks and GCP SQL and the ability to write, debug, and optimize SQL queries Client-facing written and verbal communication skills and experience Create and deliver detailed presentations Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.) 4-year Bachelor's degree in Computer Science or a related field Prefer any of the following: Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies Multiple data sources (e.g. queues, relational databases, files, search, API) Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi Why phData? We Offer: Remote-First Workplace Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement Continuous learning and growth opportunities to enhance your skills and expertise Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

This is a hands-on Data Platform Engineering role with a strong focus on consultative data engagements across business and technical teams. Responsibilities Design and implement resilient data pipelines for batch and real-time processing Work closely with product managers, engineers, analysts, and data scientists to deliver scalable data platforms Provide guidance on architecture, infrastructure, and implementation best practices Collaborate with architects and developers to define data structures, pipelines, and orchestration strategies Ensure data privacy, processing, modeling, analytics, AI integration, and API connectivity Embrace Agile principles for project execution Develop frameworks to solve data challenges at scale Technical Skills Required 3+ years in data engineering with experience in lakehouse implementations (Databricks, Snowflake, or Synapse) Hands-on with Azure data stack (Databricks, Synapse, ADF) and supporting services (Key Vault, Storage, Firewall) Proficient in SQL, Python, and Spark Familiar with tools like JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket Experience in Agile environments and familiarity with DBT and PowerBI is a plus

Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc. Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts. Evolving, implementing, and advocating a global MLOps model across project teams to ensure standardization and consistency of AI solutions design, R&D though deployment and maintenance. Design and implement automation processes during each MLOps project phase ensuring reusable code library development, testing & adoption. Partner with business stakeholders and AI project teams to clearly understand business requirements; design and develop scalable AI solutions and promotion of their benefits back to business partners with an emphasis on value. Become a Subject Matter Expert (SME) on best usage of the teams global data science platform driving MLOps processes and reducing the cost of scalable AI delivery for business partners. Research and promote latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms. Employ innovative thinking across everything you do, always seeking the best ways of working for our teams and business partners

Responsibilities : About Lexmark: Founded in 1991 and headquartered in Lexington, Kentucky, Lexmark is recognized as a global leader in print hardware, service, software solutions and security by many of the technology industry’s leading market analyst firms. Lexmark creates cloud-enabled imaging and IoT solutions that help customers in more than 170 countries worldwide quickly realize business outcomes. Lexmark’s digital transformation objectives accelerate business transformation, turning information into insights, data into decisions, and analytics into action. Lexmark India, located in Kolkata, is one of the research and development centers of Lexmark International Inc. The India team works on cutting edge technologies & domains like cloud, AI/ML, Data science, IoT, Cyber security on creating innovative solutions for our customers and helping them minimize the cost and IT burden in providing a secure, reliable, and productive print and imaging environment. At our core, we are a technology company – deeply committed to building our own R&D capabilities, leveraging emerging technologies and partnerships to bring together a library of intellectual property that can add value to our customer's business. Caring for our communities and creating growth opportunities by investing in talent are woven into our culture. It’s how we care, grow, and win together. Job Description/Responsibilities: We are looking for a highly skilled and strategic Data Architect with deep expertise in the Azure Data ecosystem . This role requires a strong command over Azure Databricks , Azure Data Lake , Azure Data Factory , data warehouse design , SQL optimization , and AI/ML integration . The Data Architect will design and oversee robust, scalable, and secure data architectures to support advanced analytics and machine learning workloads. Qualification: BE/ME/MCA with 10+ Years in IT Experience. Must Have Skills/Skill Requirement: Define and drive the overall Azure-based data architecture strategy aligned with enterprise goals. Architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. Provide technical leadership on Azure Databricks (Spark, Delta Lake, Notebooks, MLflow etc.) for large-scale data processing and advanced analytics use cases. Integrate AI/ML models into data pipelines and support end-to-end ML lifecycle (training, deployment, monitoring). Collaborate with cross-functional teams including data scientists, DevOps engineers, and business analysts. Evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure. Mentor data engineers and junior architects on best practices and architectural standards. Strong experience with data modeling, ETL/ELT frameworks, and data warehousing concepts. Proficient in SQL, Python, PySpark. Solid understanding of AI/ML workflows and tools. Exposure on Azure DevOps. Excellent communication and stakeholder management skills. How to Apply ? Are you an innovator? Here is your chance to make your mark with a global technology leader. Apply now! Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us. Click here to view Lexmark's Privacy Notice.

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The Opportunity We’re looking for a Senior Data Engineer to join our growing Data Platform team. You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, machine learning, and business intelligence across Sonatype. You’ll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems. What You’ll Do Design, build, and maintain scalable data pipelines and ETL/ELT processes Architect and optimize data models and storage solutions for analytics and operational use Collaborate with data scientists, analysts, and engineers to deliver trusted, high-quality datasets Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake) Implement observability, alerting, and data quality monitoring for critical pipelines Drive best practices in data engineering, including documentation, testing, and CI/CD Contribute to the design and evolution of our next-generation data lakehouse architecture Minimum Qualifications 5+ years of experience as a Data Engineer or in a similar backend engineering role Strong programming skills in Python, Scala, or Java Hands-on experience with HBase or similar NoSQL columnar stores Hands-on experience with distributed data systems like Spark, Kafka, or Flink Proficient in writing complex SQL and optimizing queries for performance Experience building and maintaining robust ETL/ELT (Data Warehousing) pipelines in production Familiarity with workflow orchestration tools (Airflow, Dagster, or similar) Understanding of data modeling techniques (star schema, dimensional modeling, etc.) Bonus Points Experience working with Databricks, dbt, Terraform, or Kubernetes Familiarity with streaming data pipelines or real-time processing Exposure to data governance frameworks and tools Experience supporting data products or ML pipelines in production Strong understanding of data privacy, security, and compliance best practices Why You’ll Love Working Here Data with purpose: Work on problems that directly impact how the world builds secure software Modern tooling: Leverage the best of open-source and cloud-native technologies Collaborative culture: Join a passionate team that values learning, autonomy, and impact At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The Opportunity We’re looking for a Senior Data Engineer to join our growing Data Platform team. This role is a hybrid of data engineering and business intelligence, ideal for someone who enjoys solving complex data challenges while also building intuitive and actionable reporting solutions. You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, dashboards, machine learning, and decision-making across Sonatype. You’ll also be responsible for delivering clear, compelling, and insightful business intelligence through tools like Looker Studio and advanced SQL queries. What You’ll Do Design, build, and maintain scalable data pipelines and ETL/ELT processes. Architect and optimize data models and storage solutions for analytics and operational use. Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar. Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable. Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake). Write complex, high-performance SQL queries to support reporting and analytics needs. Implement observability, alerting, and data quality monitoring for critical pipelines. Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD. Contribute to the evolution of our next-generation data lakehouse and BI architecture. What We’re Looking For 5+ years of experience as a Data Engineer or in a hybrid data/reporting role. Strong programming skills in Python, Java, or Scala. Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift. Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow). Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics. Experience with BI tools such as Looker Studio, Power BI, or Tableau. Experience in building and maintaining robust ETL/ELT pipelines in production. Understanding of data quality, observability, and governance best practices. 5+ years of experience as a Data Engineer or in a hybrid data/reporting role. Strong programming skills in Python, Java, or Scala. Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow). Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics. Experience with BI tools such as Looker Studio, Power BI, or Tableau. Familiarity with data modeling techniques (star schema, dimensional modeling, etc.). Experience in building and maintaining robust ETL/ELT pipelines in production. Understanding data quality, observability, and governance best practices. Bonus Points Experience with dbt, Terraform, or Kubernetes. Familiarity with real-time data processing or streaming architectures. Understanding of data privacy, compliance, and security best practices in analytics and reporting. Why You’ll Love Working Here Data with purpose: Work on problems that directly impact how the world builds secure software. Full-spectrum impact: Use both engineering and analytical skills to shape product, strategy, and operations. Modern tooling: Leverage the best of open-source and cloud-native technologies. Collaborative culture: Join a passionate team that values learning, autonomy, and real-world impact. At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. About The Role The Engineering Manager – Data role at Sonatype blends hands-on data engineering with leadership and strategic influence. You will lead high-performing data engineering teams to build the infrastructure, pipelines, and systems that fuel analytics, business intelligence, and machine learning across our global products. We’re looking for a leader who brings deep technical experience in modern data platforms, is fluent in programming, and understands the nuances of open-source consumption and software supply chain security. This hybrid role is based out of our Hyderabad office. What You’ll Do Lead, mentor, and grow a team of data engineers responsible for building scalable, secure, and maintainable data solutions. Design and architect data pipelines, Lakehouse systems, and warehouse models using tools such as Databricks, Airflow, Spark, and Snowflake/Redshift. Stay hands-on—write, review, and guide production-level code in Python, Java, or similar languages. Ensure strong foundations in data modeling, governance, observability, and data quality. Collaborate with cross-functional teams including Product, Security, Engineering, and Data Science to translate business needs into data strategies and deliverables. Apply your knowledge of open-source component usage, dependency management, and software composition analysis to ensure our data platforms support secure development practices. Embed application security principles into data platform design, supporting Sonatype’s mission to secure the software supply chain. Foster an engineering culture that prioritizes continuous improvement, technical excellence, and team ownership. Who You Are A technical leader with a strong background in data engineering, platform design, and secure software development. Comfortable operating across domains—data infrastructure, programming, architecture, security, and team leadership. Passionate about delivering high-impact results through technical contributions, mentoring, and strategic thinking. Familiar with modern data engineering practices, open-source ecosystems, and the challenges of managing data securely on a scale. A collaborative communicator who thrives in hybrid and cross-functional team environments. What You Need 6+ years of experience in data engineering, backend systems, or infrastructure development. 2+ year of experience in a technical leadership or engineering management role with hands-on contribution. Expertise in data technologies: Databricks, Spark, Airflow, Snowflake/Redshift, dbt, etc. Strong programming skills in Python, Java, or Scala with experience building robust, production-grade systems. Experience in data modeling (dimensional modeling, star/snowflake schema), data warehousing, and ELT/ETL pipeline development. Understanding software dependency management and open-source consumption patterns. Familiarity with application security principles and a strong interest in secure software supply chains. Experience supporting real-time data systems or streaming architectures. Exposure to machine learning pipelines or data productization. Experience with tools like Terraform, Kubernetes, and CI/CD for data engineering workflows. Knowledge of data governance frameworks and regulatory compliance (GDPR, SOC2, etc.). Why Join Us? Help secure the software supply chain for millions of developers worldwide. Build meaningful software in a collaborative, fast-moving environment with strong technical peers. Stay hands-on while leading—technical leadership is part of the job, not separate from it. Join a global engineering organization with deep local roots and a strong team culture. Competitive salary, great benefits, and opportunities for growth and innovation. At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Mantas Scenario Developer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 3 to 4 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Hands on Mantas (Oracle FCCM) Scenario Development experience throughout the full development life cycle Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Mantas: Expert in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, thorough knowledge and hands on experience in Mantas FSDM, DIS, Batch Scenario Manager Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstrable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Role & responsibilities At least 5 years of experience in data engineering with a strong background on Azure Databricks and Scala/Python. •Experience in handling unstructured data processing and transformation with programming knowledge. •Hands on experience in building data pipelines using Scala/Python •Big data technologies such as Apache Spark, Structured Streaming, SQL, Databricks Delta Lake •Strong analytical and problem solving skills with the ability to troubleshoot spark applications and resolve data pipeline issues. •Familiarity with version control systems like Git, CICD pipelines using Jenkins.

Line of Service Advisory Industry/Sector FS X-Sector Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Senior Associate Exp : 3 - 6 Years Location: Kolkata Technical Skills: · Strong expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, SQL Server, and Python. · Solid understanding of Azure Functions and their application in data processing workflows. · Understanding of DevOps practices and CI/CD pipelines for data solutions. · Experience with other ETL tools such as Informatica Intelligent Cloud Services (IICS) is a plus. · Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment. · Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Key Responsibilities: · Develop, maintain, and optimize scalable data pipelines using Azure Databricks, Azure Data Factory (ADF), and PySpark. · Collaborate with data architects and business stakeholders to translate requirements into technical solutions. · Implement and manage data integration processes using SQL Server and Python. · Design and deploy Azure Functions to support data processing workflows. · Monitor and troubleshoot data pipeline performance and reliability issues. · Ensure data quality, security, and compliance with industry standards and best practices. · Document technical specifications and maintain clear and concise project documentation. Mandatory skill sets: Azure Databricks, Azure Data Factory (ADF), and PySpark. Preferred skill sets: Azure Databricks, Azure Data Factory (ADF), and PySpark. Years of experience required: 3-6 Years Education qualification: B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking a Data Engineer to design, develop, and maintain data ingestion processes to a data platform built using Microsoft Technologies, ensuring data quality and integrity. The role involves collaborating with data architects and business analysts to implement solutions using tools like ADF, Azure Databricks, and requires strong SQL skills. Responsibilities: Key responsibilities include developing, testing, and optimizing ETL workflows and maintaining documentation. ETL development experience in Microsoft data track are required. Work with business team to translate the business requirement to technical requirements. Demonstrated expertise in Agile methodologies, including Scrum, Kanban, or SAFe. Mandatory skill sets: · Strong proficiency in Azure Databricks, including Spark and Delta Lake. · Experience with Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database. · Proficiency in data integration and ETL processes and T-SQL. · Experienced working in Python for data engineering · Experienced working in Postgres Database · Experienced working in graph database · Experienced in architecture design and data modelling Good To Have Skill Sets: · Unity Catalog / Purview · Familiarity with Fabric/Snowflake service offerings · Visualization tool – PowerBI Preferred skill sets: Hands on knowledge of python, Pyspark and strong SQL knowledge. ETL and data warehousing is must. Relevant certifications (Any one) (e.g., Databricks Data Engineer Associate Microsoft Certified: Azure Data Engineer Associate Azure Solution Architect) are mandatory Years of experience required: 5+yrs Education qualification: Bachelor's degree in Computer Science, IT, or a related field. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Overview: At Coursera, our Data team is helping to build the future of education through data-driven decision making and data-powered products. We drive marketing, product and business strategy through ensuring high quality data, measurement, experimentation, and causal inference. We are seeking a dynamic, collaborative, and experienced Senior Manager to lead our Data Science team, responsible for KPI reporting and business analytics for business teams and functions. Reporting to the Director of Data Science, this role will play a pivotal role in shaping strategies and initiatives to enable our leaders, stakeholders and partners with reliable data, automation and analytics at Coursera, to drive business growth. Responsibilities: Hire, mentor, and lead a team of data scientists, fostering a culture of continuous learning and integration of analytics into business teams to enhance our online learning platform. Collaborate with stakeholders to understand requirements, develop technical roadmaps, and identify opportunities for automation and efficiency, ensuring the delivery of impactful data products. Develop scalable data solutions by building reliable data layers, improving self-service capabilities, and driving data-driven decision-making across the organization. Conduct deep-dive analyses and hypothesis testing in partnership with teams and stakeholders to uncover actionable insights and improve business outcomes. Build forecasting models to identify patterns, predict future demand, and optimize resource allocation, enabling informed strategic decision-making. Influence strategic direction by partnering with senior leadership, providing data-driven recommendations, and contributing to the company’s long-term vision. Drive innovation and skill development by staying updated on industry trends, emerging technologies, and best practices in business intelligence and analytics. Bridge technical and non-technical teams, ensuring clear communication, aligning priorities, and fostering strong, collaborative relationships to create a positive and productive work environment. Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field; Master's degree preferred. 10+ years of experience in data analytics, business intelligence, or related roles, with 4+ years of managerial experience. Proficiency in programming languages such as SQL, Python, or R and experience with relevant data science libraries and frameworks. Hands-on experience with data visualization tools such as Looker, Tableau, or Amplitude. Strong understanding of data warehousing concepts and experience working with cloud-based data platforms (e.g., Databricks, AWS, Google Cloud). Excellent communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. Proven leadership abilities, with a track record of successfully managing teams and driving projects to completion. Strong analytical and problem-solving skills, with the ability to translate data into actionable insights and recommendations. Preferred Qualifications: Experience at EdTech or Content Subscription business. Experience working with Salesforce data. Experience with Airflow, Databricks. Experience with PM tools like JIRA, confluence. If this opportunity interests you, you might like these courses on Coursera: Go Beyond the Numbers: Translate Data into Insights Applied AI with DeepLearning Probability & Statistics for Machine Learning & Data Science Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company A fast-growing enterprise technology consultancy operating at the intersection of cloud computing, big-data engineering and advanced analytics . The team builds high-throughput, real-time data platforms that power AI, BI and digital products for Fortune 500 clients across finance, retail and healthcare. By combining Databricks Lakehouse architecture with modern DevOps practices, they unlock insight at petabyte scale while meeting stringent security and performance SLAs. Role & Responsibilities Architect end-to-end data pipelines (ingestion → transformation → consumption) using Databricks, Spark and cloud object storage. Design scalable data warehouses/marts that enable self-service analytics and ML workloads. Translate logical data models into physical schemas; own database design, partitioning and lifecycle management for cost-efficient performance. Implement, automate and monitor ETL/ELT workflows, ensuring reliability, observability and robust error handling. Tune Spark jobs and SQL queries, optimizing cluster configurations and indexing strategies to achieve sub-second response times. Provide production support and continuous improvement for existing data assets, championing best practices and mentoring peers. Skills & Qualifications Must-Have 6–10 years building production-grade data platforms, including 3 years+ hands-on Apache Spark/Databricks experience. Expert proficiency in PySpark, Python and advanced SQL, with a track record of performance-tuning distributed jobs. Demonstrated ability to model data warehouses/marts and orchestrate ETL/ELT pipelines with tools such as Airflow or dbt. Hands-on with at least one major cloud platform (AWS or Azure) and modern lakehouse / data-lake patterns. Strong problem-solving skills, DevOps mindset and commitment to code quality; comfortable mentoring fellow engineers. Preferred Deep familiarity with the AWS analytics stack (Redshift, Glue, S3) or the broader Hadoop ecosystem. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Experience building streaming pipelines (Kafka, Kinesis, Delta Live Tables) and real-time analytics solutions. Exposure to ML feature stores, MLOps workflows and data-governance/compliance frameworks. Relevant professional certifications (Databricks, AWS, Azure) or notable open-source contributions. Benefits & Culture Highlights Remote-first & flexible hours with 25+ PTO days and comprehensive health cover. Annual training budget & certification sponsorship (Databricks, AWS, Azure) to fuel continuous learning. Inclusive, impact-focused culture where engineers shape the technical roadmap and mentor a vibrant data community Skills: data modeling,big data technologies,team leadership,agile methodologies,performance tuning,data,aws,airflow

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company A fast-growing enterprise technology consultancy operating at the intersection of cloud computing, big-data engineering and advanced analytics . The team builds high-throughput, real-time data platforms that power AI, BI and digital products for Fortune 500 clients across finance, retail and healthcare. By combining Databricks Lakehouse architecture with modern DevOps practices, they unlock insight at petabyte scale while meeting stringent security and performance SLAs. Role & Responsibilities Architect end-to-end data pipelines (ingestion → transformation → consumption) using Databricks, Spark and cloud object storage. Design scalable data warehouses/marts that enable self-service analytics and ML workloads. Translate logical data models into physical schemas; own database design, partitioning and lifecycle management for cost-efficient performance. Implement, automate and monitor ETL/ELT workflows, ensuring reliability, observability and robust error handling. Tune Spark jobs and SQL queries, optimizing cluster configurations and indexing strategies to achieve sub-second response times. Provide production support and continuous improvement for existing data assets, championing best practices and mentoring peers. Skills & Qualifications Must-Have 6–10 years building production-grade data platforms, including 3 years+ hands-on Apache Spark/Databricks experience. Expert proficiency in PySpark, Python and advanced SQL, with a track record of performance-tuning distributed jobs. Demonstrated ability to model data warehouses/marts and orchestrate ETL/ELT pipelines with tools such as Airflow or dbt. Hands-on with at least one major cloud platform (AWS or Azure) and modern lakehouse / data-lake patterns. Strong problem-solving skills, DevOps mindset and commitment to code quality; comfortable mentoring fellow engineers. Preferred Deep familiarity with the AWS analytics stack (Redshift, Glue, S3) or the broader Hadoop ecosystem. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Experience building streaming pipelines (Kafka, Kinesis, Delta Live Tables) and real-time analytics solutions. Exposure to ML feature stores, MLOps workflows and data-governance/compliance frameworks. Relevant professional certifications (Databricks, AWS, Azure) or notable open-source contributions. Benefits & Culture Highlights Remote-first & flexible hours with 25+ PTO days and comprehensive health cover. Annual training budget & certification sponsorship (Databricks, AWS, Azure) to fuel continuous learning. Inclusive, impact-focused culture where engineers shape the technical roadmap and mentor a vibrant data community Skills: data modeling,big data technologies,team leadership,agile methodologies,performance tuning,data,aws,airflow

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company A fast-growing enterprise technology consultancy operating at the intersection of cloud computing, big-data engineering and advanced analytics . The team builds high-throughput, real-time data platforms that power AI, BI and digital products for Fortune 500 clients across finance, retail and healthcare. By combining Databricks Lakehouse architecture with modern DevOps practices, they unlock insight at petabyte scale while meeting stringent security and performance SLAs. Role & Responsibilities Architect end-to-end data pipelines (ingestion → transformation → consumption) using Databricks, Spark and cloud object storage. Design scalable data warehouses/marts that enable self-service analytics and ML workloads. Translate logical data models into physical schemas; own database design, partitioning and lifecycle management for cost-efficient performance. Implement, automate and monitor ETL/ELT workflows, ensuring reliability, observability and robust error handling. Tune Spark jobs and SQL queries, optimizing cluster configurations and indexing strategies to achieve sub-second response times. Provide production support and continuous improvement for existing data assets, championing best practices and mentoring peers. Skills & Qualifications Must-Have 6–10 years building production-grade data platforms, including 3 years+ hands-on Apache Spark/Databricks experience. Expert proficiency in PySpark, Python and advanced SQL, with a track record of performance-tuning distributed jobs. Demonstrated ability to model data warehouses/marts and orchestrate ETL/ELT pipelines with tools such as Airflow or dbt. Hands-on with at least one major cloud platform (AWS or Azure) and modern lakehouse / data-lake patterns. Strong problem-solving skills, DevOps mindset and commitment to code quality; comfortable mentoring fellow engineers. Preferred Deep familiarity with the AWS analytics stack (Redshift, Glue, S3) or the broader Hadoop ecosystem. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Experience building streaming pipelines (Kafka, Kinesis, Delta Live Tables) and real-time analytics solutions. Exposure to ML feature stores, MLOps workflows and data-governance/compliance frameworks. Relevant professional certifications (Databricks, AWS, Azure) or notable open-source contributions. Benefits & Culture Highlights Remote-first & flexible hours with 25+ PTO days and comprehensive health cover. Annual training budget & certification sponsorship (Databricks, AWS, Azure) to fuel continuous learning. Inclusive, impact-focused culture where engineers shape the technical roadmap and mentor a vibrant data community Skills: data modeling,big data technologies,team leadership,agile methodologies,performance tuning,data,aws,airflow

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company A fast-growing enterprise technology consultancy operating at the intersection of cloud computing, big-data engineering and advanced analytics . The team builds high-throughput, real-time data platforms that power AI, BI and digital products for Fortune 500 clients across finance, retail and healthcare. By combining Databricks Lakehouse architecture with modern DevOps practices, they unlock insight at petabyte scale while meeting stringent security and performance SLAs. Role & Responsibilities Architect end-to-end data pipelines (ingestion → transformation → consumption) using Databricks, Spark and cloud object storage. Design scalable data warehouses/marts that enable self-service analytics and ML workloads. Translate logical data models into physical schemas; own database design, partitioning and lifecycle management for cost-efficient performance. Implement, automate and monitor ETL/ELT workflows, ensuring reliability, observability and robust error handling. Tune Spark jobs and SQL queries, optimizing cluster configurations and indexing strategies to achieve sub-second response times. Provide production support and continuous improvement for existing data assets, championing best practices and mentoring peers. Skills & Qualifications Must-Have 6–10 years building production-grade data platforms, including 3 years+ hands-on Apache Spark/Databricks experience. Expert proficiency in PySpark, Python and advanced SQL, with a track record of performance-tuning distributed jobs. Demonstrated ability to model data warehouses/marts and orchestrate ETL/ELT pipelines with tools such as Airflow or dbt. Hands-on with at least one major cloud platform (AWS or Azure) and modern lakehouse / data-lake patterns. Strong problem-solving skills, DevOps mindset and commitment to code quality; comfortable mentoring fellow engineers. Preferred Deep familiarity with the AWS analytics stack (Redshift, Glue, S3) or the broader Hadoop ecosystem. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Experience building streaming pipelines (Kafka, Kinesis, Delta Live Tables) and real-time analytics solutions. Exposure to ML feature stores, MLOps workflows and data-governance/compliance frameworks. Relevant professional certifications (Databricks, AWS, Azure) or notable open-source contributions. Benefits & Culture Highlights Remote-first & flexible hours with 25+ PTO days and comprehensive health cover. Annual training budget & certification sponsorship (Databricks, AWS, Azure) to fuel continuous learning. Inclusive, impact-focused culture where engineers shape the technical roadmap and mentor a vibrant data community Skills: data modeling,big data technologies,team leadership,agile methodologies,performance tuning,data,aws,airflow

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company A fast-growing enterprise technology consultancy operating at the intersection of cloud computing, big-data engineering and advanced analytics . The team builds high-throughput, real-time data platforms that power AI, BI and digital products for Fortune 500 clients across finance, retail and healthcare. By combining Databricks Lakehouse architecture with modern DevOps practices, they unlock insight at petabyte scale while meeting stringent security and performance SLAs. Role & Responsibilities Architect end-to-end data pipelines (ingestion → transformation → consumption) using Databricks, Spark and cloud object storage. Design scalable data warehouses/marts that enable self-service analytics and ML workloads. Translate logical data models into physical schemas; own database design, partitioning and lifecycle management for cost-efficient performance. Implement, automate and monitor ETL/ELT workflows, ensuring reliability, observability and robust error handling. Tune Spark jobs and SQL queries, optimizing cluster configurations and indexing strategies to achieve sub-second response times. Provide production support and continuous improvement for existing data assets, championing best practices and mentoring peers. Skills & Qualifications Must-Have 6–10 years building production-grade data platforms, including 3 years+ hands-on Apache Spark/Databricks experience. Expert proficiency in PySpark, Python and advanced SQL, with a track record of performance-tuning distributed jobs. Demonstrated ability to model data warehouses/marts and orchestrate ETL/ELT pipelines with tools such as Airflow or dbt. Hands-on with at least one major cloud platform (AWS or Azure) and modern lakehouse / data-lake patterns. Strong problem-solving skills, DevOps mindset and commitment to code quality; comfortable mentoring fellow engineers. Preferred Deep familiarity with the AWS analytics stack (Redshift, Glue, S3) or the broader Hadoop ecosystem. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Experience building streaming pipelines (Kafka, Kinesis, Delta Live Tables) and real-time analytics solutions. Exposure to ML feature stores, MLOps workflows and data-governance/compliance frameworks. Relevant professional certifications (Databricks, AWS, Azure) or notable open-source contributions. Benefits & Culture Highlights Remote-first & flexible hours with 25+ PTO days and comprehensive health cover. Annual training budget & certification sponsorship (Databricks, AWS, Azure) to fuel continuous learning. Inclusive, impact-focused culture where engineers shape the technical roadmap and mentor a vibrant data community Skills: data modeling,big data technologies,team leadership,agile methodologies,performance tuning,data,aws,airflow

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company Operating at the forefront of cloud analytics, big-data platform engineering, and enterprise AI , our teams design mission-critical data infrastructure for global clients across finance, retail, telecom, and emerging tech. We build distributed ingestion pipelines on Azure & Databricks, unlock real-time insights with Spark/Kafka, and automate delivery through modern DevOps so businesses can act on high-fidelity data, fast. Role & Responsibilities Engineer robust data pipelines: build scalable batch & streaming workflows with Apache Spark, Kafka, and Azure Data Factory/Databricks. Implement Delta Lakehouse layers: design bronze-silver-gold medallion architecture to guarantee data quality and lineage. Automate CI/CD for ingestion: create Git-based workflows, containerized builds, and automated testing to ship reliable code. Craft clean, test-driven Python: develop modular PySpark/Pandas services, enforce SOLID principles, and maintain git-versioned repos. Optimize performance & reliability: profile jobs, tune clusters, and ensure SLAs for throughput, latency, and cost. Collaborate in Agile squads: partner with engineers, analysts, and consultants to translate business questions into data solutions. Skills & Qualifications Must-Have 1-2 yrs hands-on with Apache Spark or Kafka and Python (PySpark/Pandas/Polars). Experience building Delta Lake / medallion architectures on Azure or Databricks. Proven ability to design event-driven pipelines and write unit/integration tests. Git-centric workflow knowledge plus CI/CD tooling (GitHub Actions, Azure DevOps). Preferred Exposure to SQL/Relational & NoSQL stores and hybrid lake-house integrations. STEM/computer-science degree or equivalent foundation in algorithms and OOP. Benefits & Culture Highlights Flexible, remote-first teams: outcome-driven culture with quarterly hackathons and dedicated learning budgets. Growth runway: clear promotion paths from Associate to Senior Engineer, backed by certified Azure & Databricks training. Inclusive collaboration: small, empowered Agile squads that value knowledge-sharing, mentorship, and transparent feedback. Skills: modern javascript,cloud,vector databases,angular,pipelines,ci,containerization,ml,aws,langchain,shell scripting,mlops,performance testing,knowledge-graph design (rdf/owl/sparql),data,feature engineering,ci/cd,python,aws services (sagemaker, bedrock, lambda),synthetic-data augmentation,generative ai,data-cataloging,metadata management,lineage,data governance

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company Operating at the forefront of cloud analytics, big-data platform engineering, and enterprise AI , our teams design mission-critical data infrastructure for global clients across finance, retail, telecom, and emerging tech. We build distributed ingestion pipelines on Azure & Databricks, unlock real-time insights with Spark/Kafka, and automate delivery through modern DevOps so businesses can act on high-fidelity data, fast. Role & Responsibilities Engineer robust data pipelines: build scalable batch & streaming workflows with Apache Spark, Kafka, and Azure Data Factory/Databricks. Implement Delta Lakehouse layers: design bronze-silver-gold medallion architecture to guarantee data quality and lineage. Automate CI/CD for ingestion: create Git-based workflows, containerized builds, and automated testing to ship reliable code. Craft clean, test-driven Python: develop modular PySpark/Pandas services, enforce SOLID principles, and maintain git-versioned repos. Optimize performance & reliability: profile jobs, tune clusters, and ensure SLAs for throughput, latency, and cost. Collaborate in Agile squads: partner with engineers, analysts, and consultants to translate business questions into data solutions. Skills & Qualifications Must-Have 1-2 yrs hands-on with Apache Spark or Kafka and Python (PySpark/Pandas/Polars). Experience building Delta Lake / medallion architectures on Azure or Databricks. Proven ability to design event-driven pipelines and write unit/integration tests. Git-centric workflow knowledge plus CI/CD tooling (GitHub Actions, Azure DevOps). Preferred Exposure to SQL/Relational & NoSQL stores and hybrid lake-house integrations. STEM/computer-science degree or equivalent foundation in algorithms and OOP. Benefits & Culture Highlights Flexible, remote-first teams: outcome-driven culture with quarterly hackathons and dedicated learning budgets. Growth runway: clear promotion paths from Associate to Senior Engineer, backed by certified Azure & Databricks training. Inclusive collaboration: small, empowered Agile squads that value knowledge-sharing, mentorship, and transparent feedback. Skills: modern javascript,cloud,vector databases,angular,pipelines,ci,containerization,apache spark,aws,ml,langchain,shell scripting,kafka,performance testing,mlops,pandas,knowledge-graph design (rdf/owl/sparql),sql,data,feature engineering,nosql,delta lake,ci/cd,python,aws services (sagemaker, bedrock, lambda),pyspark,synthetic-data augmentation,generative ai,data-cataloging,metadata management,databricks,git,lineage,data governance,azure

Note: This is a remote role with occasional office visits. Candidates from Mumbai or Pune will be preferred About The Company Operating at the forefront of cloud analytics, big-data platform engineering, and enterprise AI , our teams design mission-critical data infrastructure for global clients across finance, retail, telecom, and emerging tech. We build distributed ingestion pipelines on Azure & Databricks, unlock real-time insights with Spark/Kafka, and automate delivery through modern DevOps so businesses can act on high-fidelity data, fast. Role & Responsibilities Engineer robust data pipelines: build scalable batch & streaming workflows with Apache Spark, Kafka, and Azure Data Factory/Databricks. Implement Delta Lakehouse layers: design bronze-silver-gold medallion architecture to guarantee data quality and lineage. Automate CI/CD for ingestion: create Git-based workflows, containerized builds, and automated testing to ship reliable code. Craft clean, test-driven Python: develop modular PySpark/Pandas services, enforce SOLID principles, and maintain git-versioned repos. Optimize performance & reliability: profile jobs, tune clusters, and ensure SLAs for throughput, latency, and cost. Collaborate in Agile squads: partner with engineers, analysts, and consultants to translate business questions into data solutions. Skills & Qualifications Must-Have 1-2 yrs hands-on with Apache Spark or Kafka and Python (PySpark/Pandas/Polars). Experience building Delta Lake / medallion architectures on Azure or Databricks. Proven ability to design event-driven pipelines and write unit/integration tests. Git-centric workflow knowledge plus CI/CD tooling (GitHub Actions, Azure DevOps). Preferred Exposure to SQL/Relational & NoSQL stores and hybrid lake-house integrations. STEM/computer-science degree or equivalent foundation in algorithms and OOP. Benefits & Culture Highlights Flexible, remote-first teams: outcome-driven culture with quarterly hackathons and dedicated learning budgets. Growth runway: clear promotion paths from Associate to Senior Engineer, backed by certified Azure & Databricks training. Inclusive collaboration: small, empowered Agile squads that value knowledge-sharing, mentorship, and transparent feedback. Skills: modern javascript,cloud,vector databases,angular,pipelines,ci,containerization,ml,aws,langchain,shell scripting,mlops,performance testing,knowledge-graph design (rdf/owl/sparql),data,feature engineering,ci/cd,python,aws services (sagemaker, bedrock, lambda),synthetic-data augmentation,generative ai,data-cataloging,metadata management,lineage,data governance

We are seeking an experienced PMT Technical Project Manager with a minimum of 10 years of experience in managing data projects. The ideal candidate will have a strong background in data management, MDM, Databricks, Azure, and lakeform. The candidate should also have a decent understanding of data domains. As a PMT Project Manager, you will be responsible for overseeing and coordinating all aspects of data projects, including planning, budgeting, and execution. You will work closely with cross-functional teams to ensure the successful delivery of projects on time and within budget. The ideal candidate will have excellent leadership and communication skills, as well as a proven track record of successfully managing data projects. This is a great opportunity for a driven and experienced professional to join our team and make a significant impact in the data industry. The total years of work experience for this position is 12 and the work mode is Work from Virtusa Office.

Job Requirements Role Description As a BI Developer, you will be responsible for transforming raw data into actionable insights that drive business decisions. Being part of the BI and Reporting team, You will work closely with Data operations team , Data Base Administrators, Data Business Partner and business stakeholders to develop data analytics solutions, create interactive reports, and optimize BI workflows using SQL, Python, Databricks, Power BI, and Tableau. Your expertise in data modelling, visualization, and reporting will be crucial in shaping data-driven strategies. Key Responsibilities Develop data models and interactive dashboards using Power BI, Tableau, and automated reporting to track key performance indicators (KPIs) relevant to business functions. Write complex SQL queries, leverage Python for data manipulation and predictive analytics, and optimize ETL processes for efficient data handling across multiple domains. Work with Databricks for large-scale data processing and implement AWS/Azure-based cloud solutions, ensuring scalability and performance of BI applications. Maintain data accuracy, consistency, and security across platforms, ensuring high-quality BI applications tailored to SCM, finance, sales, and marketing needs. Partner with business teams, communicate complex findings effectively to non-technical stakeholders, and drive a data-centric culture across departments. Required Skills & Qualifications Education: Bachelor’s degree in data science, Computer Science, Business Analytics, or a related field. Experience: 3+ years in BI, data analytics, or reporting roles. Technical Expertise SQL: Strong proficiency in writing queries and optimizing databases. Python: Experience in data manipulation and automation. Databricks: Hands-on experience with cloud-based data processing. Visualization Tools: Power BI, Tableau. Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to translate business needs into technical solutions.

Role & responsibilities Experience: 8-10 years in the Data and Analytics domain with expertise in the Microsoft Data Tech stack. Leadership: Experience in managing teams of 8-10 members. Technical Skills: Expertise in tools like Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, SQL Server, Azure Databricks, etc. Strong understanding of data architecture, pipelines, and governance. Understanding of one of the other data platforms like Snowflake or Google Big query or Amazon Red shift will be a plus and good to have skill. Tech stack - DBT and Databricks or Snowflake Microsoft BI - PBI, Synapse and Fabric Project Management: Proficiency in project management methodologies (Agile, Scrum, or Waterfall). Key Responsibilities Project Delivery & Management: Involved in the delivery of project. Help and define project plan, and ensure timelines are met in project delivery. Maintain quality control and ensure client satisfaction at all stages. Team Leadership & Mentorship: Lead, mentor, and manage a team of 5 to 8 professionals. Conduct performance evaluations and provide opportunities for skill enhancement. Foster a collaborative and high-performance work environment. Client Engagement: Act as the primary point of contact on technical front. Understand client needs and ensure expectations are met or exceeded. Conduct and do bi-weekly and monthly reviews on projects with customer. Technical Expertise & Innovation: Stay updated with the latest trends in Microsoft Data Technologies (Microsoft Fabric, Azure Synapse, Power BI, SQL Server, Azure Data Factory, etc.). Provide technical guidance and support to the team. Regards, Ruchita Shete Busisol Sourcing Pvt. Ltd. Tel No: 7738389588 Email id: ruchita@busisol.net

Job Family Data Science & Analysis (India) Travel Required None Clearance Required None What You Will Do Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes. Lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality. Build and optimize data architectures for operational and analytical purposes. Collaborate with cross-functional teams to gather and define data requirements. Implement data quality, data governance, and data security practices. Manage and optimize cloud-based data platforms ( Azure\AWS). Develop and maintain Python/PySpark libraries for data ingestion, Processing and integration with both internal and external data sources. Design and optimize scalable data pipelines using Azure data factory and Spark(Databricks) Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Develop frameworks for data ingestion, transformation, and validation. Mentor junior data engineers and guide best practices in data engineering. Evaluate and integrate new technologies and tools to improve data infrastructure. Ensure compliance with data privacy regulations (HIPAA, etc.). Monitor performance and troubleshoot issues across the data ecosystem. Automated deployment of data pipelines using GIT hub actions \ Azure devops What You Will Need Bachelors or master’s degree in computer science, Information Systems, Statistics, Math, Engineering, or related discipline. Minimum 5 + years of solid hands-on experience in data engineering and cloud services. Extensive working experience with advanced SQL and deep understanding of SQL. Good Experience in Azure data factory (ADF), Databricks , Python and PySpark. Good experience in modern data storage concepts data lake, lake house. Experience in other cloud services (AWS) and data processing technologies will be added advantage. Ability to enhance , develop and resolve defects in ETL process using cloud services. Experience handling large volumes (multiple terabytes) of incoming data from clients and 3rd party sources in various formats such as text, csv, EDI X12 files and access database. Experience with software development methodologies (Agile, Waterfall) and version control tools Highly motivated, strong problem solver, self-starter, and fast learner with demonstrated analytic and quantitative skills. Good communication skill. What Would Be Nice To Have AWS ETL Platform – Glue , S3 One or more programming languages such as Java, .Net Experience in US health care domain and insurance claim processing. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.