ETL Senior Engineer

3 weeks ago

Pune, India TESTQ Technologies Limited Full time

About the Role : We are looking for a highly skilled ETL Senior Engineer with AWS expertise to design, build, and optimize robust data pipelines that power enterprise decision-making. This role involves working with modern cloud-native tools to build scalable, secure, and high-performance ETL workflows that integrate structured and unstructured data from diverse sources.The ideal candidate will have hands-on expertise in AWS services, SQL/PL-SQL, and Python, along with strong data engineering and orchestration skills. If you are passionate about creating data-driven solutions that enable analytics, insights, and business transformation, this is the role for you.Key Responsibilities :- Design, build, and optimize end-to-end ETL pipelines on AWS for large-scale data integration.- Work with AWS services including S3, Glue, Athena, EMR, and Redshift to process and transform datasets.- Develop and maintain ETL scripts using SQL/PL-SQL and Python.- Implement data orchestration workflows using Airflow to manage scheduling and dependencies.- Build dashboards and reports in Tableau to enable real-time business insights.- Collaborate with data scientists, analysts, and business teams to understand requirements and translate them into scalable data solutions.- Ensure data quality, validation, and governance across ingestion and transformation layers.- Optimize pipelines for performance, cost efficiency, and scalability in cloud environments.- Support production systems with monitoring, troubleshooting, and root cause analysis.- Document ETL processes, workflows, and data flow diagrams for operational Skills :- 610 years of experience in ETL development and data engineering.- Strong proficiency in SQL/PL-SQL and Python for data manipulation and automation.- Hands-on expertise with AWS cloud services: S3, Glue, Athena, EMR, and Redshift.- Experience with Apache Airflow for data pipeline orchestration.- Proficiency in building dashboards using Tableau.- Solid understanding of data warehouse concepts, schemas, and data modeling.- Strong analytical, debugging, and problem-solving Skills : - Familiarity with CI/CD pipelines and DevOps practices for data engineering.- Experience with other orchestration frameworks (Luigi, Prefect).- Exposure to NoSQL or big data technologies like Spark or Hadoop.- Certifications in AWS (AWS Data Analytics Specialty, AWS Solutions Architect).Why Join Us?- Work on enterprise-scale cloud data transformation programs.- Opportunity to design pipelines that directly impact business decisions and strategy.- Collaborate with cross-functional global teams in a fast-paced environment.- Remote flexibility with strong learning and certification support.- Competitive compensation with career growth into Data Architect or Lead Data Engineer roles (ref:hirist.tech)

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