1138 Amazon Redshift Jobs

The Data Engineer exercises judgment when following general instructions and works with minimal instruction to support the integration and automation of data solutions. This role focuses on data massaging, reconciliation, and analysis, resolving routine to semi-routine issues. Responsibilities include creating optimized SQL queries, managing data pipelines, and collaborating with cross-functional teams to ensure data accuracy and availability.NoteThis role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.- Write optimized and scalable complex SQL queries- Automate data processing tasks using Python, focusing on cleaning and merging datasets.- Manage data pipelines, including scheduling, monitoring, and debugging workflows.- Collaborate with data engineers and IT teams to maintain data accessibility for stakeholders.- Assist in developing automated tests to ensure the accuracy and integrity of data.- Participate in version control and CI/CD processes for deploying and testing pipeline changes across environments.- Work cross-functionally with analysts, engineers, and operations.- Data stewardship includingdata governance, data compliance, data transformation, data cleanliness, data validation, data audit/maintenance. Primary Job Responsibilities Writing complex, highly-optimized SQL queries across large datasets, involved in SQL Query tuning and provided tuning recommendations Experienced in Data Analytics, hands-on experience of various Python libraries such as NumPy and Pandas Python development experience to massage, clean data and automate data extract and loads Expertise to convert raw data to processed data by merging, finding outliers, errors, trends, missing values and distributions in the data Expertise in Creating, Debugging, Scheduling and Monitoring jobs using Airflow, resolve performance tuning related issues and queries Foster collaboration among Data engineers, IT & other business groups to ensure data is accessible to FP&A team Scheduled a regular hot backup process and involved in the backup activities Strong analytical and problem-solving skills with ability to represent complex algorithms in software Develop automated unit tests, end-to-end tests, and integration tests to assist in quality assurance (QA) procedures Required Skills Bachelor's or Master's degree in Computer Science, IT, Engineering or equivalent 5+ years of experience as a Data Engineer, BI Engineer, Systems Analyst in a company with large, complex data sources Working knowledge of DBT, Snowflake, Fivetran, Git and SQL or Python programming skills for data querying, cleaning, and presentation Build highly available, reliable and secured API solutions, experience working with REST API design and Implementation Working knowledge of relational databases (PostgreSQL, MSSQL, etc.), experience with AWS services including S3, Redshift, EMR and RDS. Ability to manage multiple projects at the same time in a fast-paced team environment, across time zones, and with different cultures, while maintaining ability to work as part of a team The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner and planning knowledge would be an added advantage Detail-oriented and enthusiastic who is also focused and diligent on delivering results

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: AWS Glue. Experience: 5-8 Years.

As a Data Engineer, you will design and implement data pipelines and integrations across cloud platforms to support AI and GenAI workloads. You’ll work closely with Data Scientists and ML Engineers to enable GenAI-powered applications through clean, secure, and optimized data flows. Key Responsibilities - Data Engineering Build and maintain ETL/ELT pipelines for structured, semi-structured, and unstructured data. Work with data warehouses/lakehouses (Snowflake, BigQuery, Databricks, Redshift). Develop real-time streaming pipelines using Kafka, Spark, or Flink. Ensure data quality, validation, and error handling. Prepare and manage data pipelines to feed LLMs and GenAI models. Work with vector databases (FAISS, Pinecone, Weaviate, Milvus) for RAG-based solutions. Support embedding generation and prompt engineering workflows. Collaborate with AI teams to integrate GenAI APIs and frameworks (LangChain, Hugging Face, OpenAI). Deploy pipelines on cloud services (AWS Glue, Azure Data Factory, GCP Dataflow/Dataproc). Use Airflow, Dagster, or Prefect for orchestration. Required Skills Proficiency in Python, SQL, PySpark. Hands-on experience with ETL pipelines and data modeling. Knowledge of cloud data platforms (AWS, Azure, or GCP). Experience with vector databases and GenAI frameworks Familiarity with Docker, Kubernetes, CI/CD pipelines. Preferred Skills Exposure to MLOps / LLMOps practices. Experience with semantic search, embeddings, or RAG systems. Familiarity with data security, compliance, and governance.

Role Description We are looking for a hands-on Database Developer with deep expertise in database migration , PostgreSQL , AWS RDS , AWS DMS , and NoSQL databases . The ideal candidate will have experience working in cloud environments and leading the transformation of legacy data platforms to modern cloud-native architectures. Key Responsibilities: Design and develop database solutions for enterprise-scale applications using PostgreSQL and NoSQL databases (e.g., DynamoDB, MongoDB) Lead and execute end-to-end database migration projects using AWS DMS (Database Migration Service) Perform schema conversion, data transformation, and migration planning from on-premise or legacy databases (e.g., Oracle, MySQL, SQL Server) to AWS RDS / Aurora PostgreSQL Configure, monitor, and optimize RDS/PostgreSQL environments for performance, availability, and cost Develop stored procedures, functions, and data pipelines to support application needs and reporting Analyze and resolve data-related issues including quality, integrity, and performance bottlenecks Collaborate with cloud architects, application developers, and DevOps teams on data migration and integration strategies Ensure adherence to security, backup/recovery, and compliance best practices in cloud-hosted databases Technical Skills Required Skills & Qualifications: Bachelors degree in Computer Science, Information Systems, or a related field 12+ years (for 5A) / 8+ years (for 4A) of experience as a database developer Strong hands-on experience with: PostgreSQL development and optimization AWS RDS/Aurora PostgreSQL administration AWS DMS for data replication and migration NoSQL databases such as DynamoDB or MongoDB Experience migrating databases from on-premises to AWS cloud (rehost/refactor) Solid understanding of data modeling , normalization, and indexing strategies Familiarity with ETL tools , SQL performance tuning , and cloud-native data solutions Strong scripting skills in SQL, Python, or shell for automation and transformation Exposure to CI/CD pipelines for database changes (Flyway, Liquibase, etc.) Nice-to-have skills Nice to Have: Experience with AWS Schema Conversion Tool (SCT) Familiarity with other cloud database services like Redshift , Snowflake , or BigQuery Knowledge of data governance and data quality practices Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

A Senior Solutions Architect at Amazon Web Services (AWS) designs and implements cloud architectures to help customers solve business challenges. They work with customers to: 18+ Years Experience as AWS Solution Architect Design and Implement AWS Cloud Landing AWS Control Tower Understand their business and technical requirements Translate those requirements into technical solutions Design and develop cloud solutions Migrate existing workloads to the cloud Optimize existing solutions Propose AWS new solutions Ensure solutions comply with industry standards and security Lead the technical solution design and creation of architecture blueprints. Perform systems modelling, simulation, and analysis to ensure the soundness of the solution. Review prototypes, solution blueprints, and project scope to ensure that stakeholders needs are being met. Support the analysis of the functionality and constraints of recommended solutions, and the impact and changes required across multiple systems, platforms and applications. Support risk identification and development of risk mitigation strategies associated with the end-to-end solution. Foster continuous improvement by looking for ways to improve the design processes, models and approach.

Title and Summary Senior Specialist, Strategy Pricing & Interchange-2 Overview We are seeking a highly analytical and detail-oriented Senior Specialist, Strategy Pricing & Interchange, to join the Services Pricing team. This role will be instrumental in developing and maintaining complex pricing models that drive strategic decision-making across our services organization. The ideal candidate will have a strong background in financial modeling, data analysis, and business strategy, with the ability to translate data-driven insights into actionable pricing strategies. Role Develop, enhance, and maintain complex Excel-based pricing models to support strategic pricing decisions. Analyze large datasets to identify trends, opportunities, and risks related to pricing. Collaborate with cross-functional teams, including Product, Finance, and Sales, to align pricing strategies with business objectives. Provide insights and recommendations to optimize pricing structures and maximize revenue. Monitor competitive pricing trends and market dynamics to ensure our pricing remains competitive and sustainable. Support pricing governance and approval processes by preparing reports and presentations for senior leadership. Continuously improve pricing methodologies by integrating advanced analytics and automation where applicable. Qualifications: Bachelor's degree in Finance, Economics, Business, Mathematics, Statistics, or a related field. 3+ years of experience in pricing analysis, financial modeling, or a similar analytical role. Advanced proficiency in Excel, including experience with complex formulas, pivot tables, and financial modeling. Experience with data visualization tools (e.g., Power BI, Tableau) and SQL is a plus. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills, with the ability to present complex data in a clear and compelling manner.

Role: Cloud Data Warehouse Modeller Exp: 10 to 16 yrs Location: Bangalore, Noida, Gurgaon, Pune, Mumbai, Hyderabad - Hybrid 3 days in a Week WFO Immediate Joiners Only Note: One F2F round of interview is Mandatory at any Publicis Sapient office JD: Extensive experience modelling designing, optimizing, and maintaining structured and semi-structured data models in any cloud data warehouse (e.g. in either BigQuery, Amazon Redshift, Microsoft Azure Synapse Analytics etc.) for analytical and operational use cases. Knowledge of cloud storage and processing optimizations (in either BigQuery, Amazon Redshift, Microsoft Azure Synapse etc.) , ensuring efficient data structuring for cost-effective querying and scaling. Strong understanding of normalized and denormalized data modelling techniques, including Star and Snowflake schemas, to support efficient querying and reporting. Proficiency in writing efficient SQL queries, using techniques like partitioning, clustering, and materialized views to enhance performance and cost-effectiveness. Ability to determine the right balance between normalization and denormalization to optimize query performance while maintaining data integrity. Expertise in defining and evolving schemas over time to accommodate business needs while minimizing disruptions and ensuring backward compatibility. Experience implementing data validation, consistency checks, and schema enforcement to maintain data accuracy, completeness, and reliability. Strong emphasis on data documentation, including entity-relationship diagrams (ERDs), data dictionaries, and lineage tracking to improve data discoverability and usability. Knowledge of BigQuerys storage and processing optimizations, ensuring efficient data structuring for cost-effective querying and scaling. Ability to work closely with data engineers,analysts, and business teams to align data models with business needs, ensuring best practices in data architecture

Job Overview We are seeking an experienced Senior Data Platform Developer to join our team. The ideal candidate will have strong hands-on expertise in AlloyDB (or PostgreSQL) for transactional (OLTP) systems, BigQuery for large-scale analytics (OLAP), and exposure to Snowflake or similar cloud data warehouses. This role is ideal for someone passionate about data and performance with a solid background in data modeling, performance tuning, data reduction, archiving, and permissioning in cloud-native environments. Key Responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, and store data in AlloyDB and BigQuery. Administer and tune AlloyDB for PostgreSQL instances for high availability, reliability, and OLTP performance. Build and manage analytical data models in BigQuery, enabling efficient OLAP reporting and dashboarding use cases. Optimize data architectures with best practices for partitioning, archiving, compression, and cost-efficiency. Implement and manage data governance, security, and permissioning policies across platforms. Develop and maintain data validation and monitoring solutions to ensure pipeline reliability and data quality. Support performance tuning and schema optimization efforts across both transactional and analytical systems. Collaborate with cross-functional teams including analysts, engineers, and product owners to deliver end-to-end data solutions. Contribute to documentation and knowledge sharing across the team. Technical Skills Key Skills & Requirements 7+ years of experience in database development with a strong focus on PostgreSQL or AlloyDB. Proven expertise in OLTP and OLAP architecture and performance tuning. Extensive hands-on experience with Google Cloud Platform (GCP), especially BigQuery and AlloyDB. Solid understanding of data modeling, indexing, and query optimization for large-scale systems. Experience with Snowflake, Redshift, or similar cloud data warehouses is a strong plus. Proficient in SQL and one or more programming languages (e.g., Python or Java) for data pipeline and automation tasks. Strong understanding of data lifecycle management, including archiving, retention, and compliance. Familiarity with data security, RBAC, and access control mechanisms in cloud environments. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Role Description: As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

We are seeking an experienced Amazon Redshift Developer / Data Engineer to design, develop, and optimize cloud-based data warehousing solutions. The ideal candidate should have expertise in Amazon Redshift, ETL processes, SQL optimization, and cloud-based data lake architectures. This role involves working with large-scale datasets, performance tuning, and building scalable data pipelines. Key Responsibilities: Design, develop, and maintain data models, schemas, and stored procedures in Amazon Redshift. Optimize Redshift performance using distribution styles, sort keys, and compression techniques. Build and maintain ETL/ELT data pipelines using AWS Glue, AWS Lambda, Apache Airflow, and dbt. Develop complex SQL queries, stored procedures, and materialized views for data transformations. Integrate Redshift with AWS services such as S3, Athena, Glue, Kinesis, and DynamoDB. Implement data partitioning, clustering, and query tuning strategies for optimal performance. Ensure data security, governance, and compliance (GDPR, HIPAA, CCPA, etc.). Work with data scientists and analysts to support BI tools like QuickSight, Tableau, and Power BI. Monitor Redshift clusters, troubleshoot performance issues, and implement cost-saving strategies. Automate data ingestion, transformations, and warehouse maintenance tasks. Required Skills & Qualifications: 6+ years of experience in data warehousing, ETL, and data engineering. Strong hands-on experience with Amazon Redshift and AWS data services. Expertise in SQL performance tuning, indexing, and query optimization. Experience with ETL/ELT tools like AWS Glue, Apache Airflow, dbt, or Talend. Knowledge of big data processing frameworks (Spark, EMR, Presto, Athena). Familiarity with data lake architectures and modern data stack. Proficiency in Python, Shell scripting, or PySpark for automation. Experience working in Agile/DevOps environments with CI/CD pipelines.

Design, develop, and implement data solutions using AWS Data Stack components such as Glue and Redshift.Write and optimize advanced SQL queries for data extraction, transformation, and analysis.Develop data processing workflows and ETL processes using Python and PySpark.

Key Responsibilities: Team Leadership & Technical Mentorship: Lead, manage, and mentor a team of data engineers, fostering a culture of technical excellence and collaborative problem-solving. Conduct code reviews, provide architectural guidance. Hands-On Technical Contribution: Architecting and implementing critical components of the data platform. Expertise with PySpark, Scala, and SQL will be essential. Architectural Ownership: Design and own the roadmap for the data ecosystem. Lead the architecture of scalable and resilient data solutions, including Data Lakehouse , real-time streaming services using Kafka , and large-scale batch processing jobs using Apache Spark . Platform Modernization: Drive the evolution of the data stack. Cloud native service experience ( AWS preferred: S3, EMR, Glue, Redshift ) and containerization ( Docker, Kubernetes ) experience is must. Cross-Functional Partnership: Act as the primary technical liaison for data. Collaborate closely with Product Managers, Data Scientists, and Analysts to translate business requirements into robust, scalable data models and pipelines. Operational Rigor: Implement and enforce best practices for data quality, governance, monitoring, and CI/CD for data infrastructure. Ensure the data platform is reliable, performant and secure. Hard Skills & Qualifications: Experience Requirement: A minimum of 10 years of professional experience in software and data engineering. At least 3 years of direct people management experience, leading a team of engineers. Technical Requirements: Expert-level proficiency in Apache Spark , with hands-on coding ability in PySpark and/or Scala . Strong command of SQL and extensive experience with data modeling and data warehousing solutions (e.g., Redshift, Snowflake, BigQuery). Proven experience building and maintaining production-grade data pipelines and distributed systems. Deep experience with AWS data services (S3, EMR, Glue, Kinesis, Redshift). Preferred: Experience building or managing a Data Lakehouse architecture. Hands-on experience with stream-processing frameworks like Kafka Streams or Spark Streaming. Familiarity with workflow orchestration tools like Airflow . Knowledge of containerization and orchestration with Docker and Kubernetes . Bachelor's or Master's degree in Computer Science or a related engineering field.

What You'll Do We are looking for an experienced and motivated Senior Data Engineer to join our Data Operations team. You have expertise in Python , Snowflake SQL , modern ETL tools , and business intelligence platforms such as Power BI . You will require experience integrating SaaS applications such as Salesforce, Zuora, and NetSuite using REST APIs . You will develop data pipelines, developing data models, and ensuring seamless data integrations that support business reporting. We are looking for flexibility to collaborate in US time zones . What Your Responsibilities Will Be Design scalable data pipelines and workflows using modern ETL tools and Python. Build and optimize SQL queries and data models on Snowflake to support reporting needs. Integrate with SaaS platforms such as Salesforce, Zuora, and NetSuite using APIs or native connectors. Develop and support dashboards and reports using Power BI and other reporting tools. You will Work with data analysts, our users, and other engineering teams to gather requirements and provide high-quality solutions. you will Ensure data quality, accuracy, and consistency across systems and datasets. Write clean, well-documented, and testable code with a focus on performance and reliability. Participate in peer code reviews and contribute to best practices in data engineering. Be available for meetings and collaboration in US time zones. You will report to a manager. What You'll Need to be Successful You have 5+ years' experience in data engineering field, with deep SQL knowledge. Experience in Snowflake - SQL, Python, AWS Services, Power BI, ETL Tools (DBT, Airflow ) is must. Proficiency in Python for data transformation and scripting. Proficiency in writing complex SQL queries, Stored Procedures. Experience in Data Warehouse, data modeling and ETL design concepts. Have integrated SaaS systems like Salesforce, Zuora, NetSuite along with Relational Databases, REST API, FTP/SFTP... Knowledge of AWS technologies (EC2, S3, RDS, Redshift...etc.) , with the ability to translate technical issues for non-technical partners. Flexibility to work during US business hours for team meetings and collaboration.

Your Role We are seeking an experienced Data Engineer with strong expertise in SQL, Spark SQL, Databricks (on Azure or AWS), Unity Catalog, and PySpark to design, build, and optimize modern data solutions. The ideal candidate will also bring in-depth knowledge of data warehousing concepts and best practices to support scalable, high-performance data platforms. In this role you will play a key role in 410 years of experience in Data Engineering / ETL Development. Strong expertise in SQL and Spark SQL (complex queries, optimization, performance tuning). Hands-on experience with Databricks on Azure or AWS (Delta Lake, Lakehouse). Proficiency in PySpark for data processing. Experience with Unity Catalog for data governance, security, and access management. Solid understanding of data warehousing principles, dimensional modeling, and best practices. Knowledge of Azure Data Services (ADLS, ADF, Synapse) or AWS Data Services (S3, Glue, Redshift, Athena, etc.) is a plus. Your Profile Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence andspirit Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data engineering process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead data architecture design and implementation.- Optimize data pipelines for performance and scalability.- Implement data security and privacy measures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Strong understanding of data modeling and database design.- Experience with cloud-based data platforms like AWS or Azure.- Hands-on experience with ETL tools such as Informatica or Talend.- Knowledge of programming languages like Python or Java. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Engineering.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : DevOps, Continuous Integration (CI) Tools, Python (Programming Language), Amazon Web Services (AWS) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing application features, and ensuring that the applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications meet the highest standards of quality and functionality, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities:- Implementation, and maintenance of AWS infrastructure using Terraform. Collaborate with development and operations teams to optimize software delivery pipelines. Ensure high availability, scalability, and security of production systems. Automate deployment, monitoring, and maintenance processes to streamline operations. Troubleshoot and resolve infrastructure issues promptly. Stay updated on industry best practices and emerging technologies to enhance systems. Professional & Technical Skills: - Proven experience as a DevOps Engineer with a focus on AWS services like VPC, EC2, IAM, Secrets manager, RDS(Postgres), MWAA, Redshift, Glue, Lakeformation & more. Proficiency in infrastructure-as-code using Terraform. In-depth knowledge of AWS services and best practices. Strong scripting skills (e.g., Bash, Python). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Solid understanding of CI/CD pipelines. Strong problem-solving and communication skills. Ability to work collaboratively in a fast-paced environment.-AWS certifications (e.g., AWS Certified DevOps Engineer) preferred. Minimum 5 years of experience in DevOps roles. Additional Information:- The candidate should have minimum 5 years of experience in DevOps.- This position is based at our Hyderabad office.- A 15 years full time education is required.- Ready to work in shifts - 12 PM to 10 PM Qualification 15 years full time education

Youll make an impact by: Design, build, and maintain data pipelines that serve the needs of multiple stakeholders including software developers, data scientists, analysts, and business teams. Ensure data pipelines are modular, resilient, and optimized for performance and low maintenance. Collaborate with AI/ML teams to support training, inference, and monitoring needs through structured data delivery. Implement ETL/ELT workflows for structured, semi-structured, and unstructured data using cloud-native tools. Work with large-scale data lakes, streaming platforms, and batch processing systems to ingest and transform data. Establish robust data validation, logging, and monitoring strategies to maintain data quality and lineage. Optimize data infrastructure for scalability, cost-efficiency, and observability in cloud-based environments. Ensure compliance with governance policies and data access controls across projects. Use your skills to move the world forward! Bachelors degree in Computer Science, Information Systems, or a related field. 4+ years of experience designing and deploying scalable data pipelines in cloud environments. Proficiency in Python, SQL, and data manipulation tools and frameworks (e.g., Apache Airflow, Spark, dbt, Pandas). Practical experience with data lakes, data warehouses (e.g., Redshift, Snowflake, BigQuery), and streaming platforms (e.g., Kafka, Kinesis). Strong understanding of data modeling, schema design, and data transformation patterns. Experience working with AWS (Glue, S3, Redshift, Sagemaker) or Azure (Data Factory, Azure ML Studio, Azure Storage). Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Exposure to building data solutions that serve AI/ML pipelines, including feature stores and real-time data ingestion. Familiarity with observability, data versioning, and pipeline testing tools. Experience engaging with diverse stakeholders, gathering data requirements, and supporting iterative development cycles. Background or familiarity with the Power, Energy, or Electrification sector is a strong plus. Knowledge of security best practices and data compliance policies for enterprise-grade systems.

Role & responsibilities Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg,EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts: Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development. Expertise in working with data warehousing solutions like Redshift. 4+yrs Immediate to 15days Mok@teksystems.com