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Senior Data Warehouse Engineer - ETL/Python Job Opening In New Delhi – Now Hiring TGS The Global Skills


Job description

<p><p><b>Description :</b><br/><br/>The Data Warehouse Engineer will develop and maintain pipelines that transform raw ingested data into clean, analytics-ready schemas consumed by executives, managers, analysts, and clients.<br/><br/>This is a hands-on role ideal for someone who loves working at the intersection of engineering and analytics.<br/><br/>The candidate will join a talented and supportive team that owns the full ELT lifecycle from ingestion to modeling and will have the opportunity to contribute to architecture decisions, workflow improvements, and new tool adoption.<br/><br/>The incumbent get to work with a modern data stack (Airbyte, dbt, Airflow, Redshift) and build solutions that directly support business-critical initiatives, from performance reporting to marketing attribution.<br/><br/>One will have room to grow your technical depth, broaden your data integration skills, and make a visible impact on AffinityXs data maturity.<br/><br/>- Build and maintain Airbyte extract/load connectors for third-party APIs.<br/><br/>- Write robust, modular dbt models to transform raw data into a normalized reporting layer.<br/><br/>- Develop and monitor DAGs in Airflow for scheduling and orchestration.<br/><br/>- Ensure data quality through validation, testing automation, and documentation.<br/><br/>- Write and tune complex SQL queries for reporting and analysis use cases.<br/><br/>- Collaborate with internal users to understand data requirements and deliver reliable solutions.<br/><br/>- Contribute to process improvements in CI/CD, pipeline observability, and testing frameworks.<br/><br/><b>Desired Candidate Details :</b><br/><br/>- Bachelors degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).<br/><br/>- 6+ years of experience in data engineering, analytics engineering, or backend development focused on data systems.<br/><br/>- Strong SQL skills with experience on Redshift and at least one other platform such as MySQL or Oracle.<br/><br/>- Proficient in Python, with ability to write clean, testable, and reusable data pipeline code.<br/><br/>- Experience working with structured and semi-structured data formats (CSV, spreadsheets, XML, JSON).<br/><br/>- Familiarity with tools such as dbt for transformation and Airflow for orchestration.<br/><br/>- Comfortable working with REST APIs and integrating third-party data sources.<br/><br/>- Experience using Jira to manage day-to-day work: creating and completing subtasks, documenting progress, and logging work time or estimates.<br/><br/>- Familiar with Agile team processes, version control, and peer-reviewed development practices.<br/><br/>- Experience in marketing/advertising analytics or campaign data is a plus.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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