Data Engineer - AWS/ETL/Python

<p><p><b>Description : </b><br/><br/>About the Role : <br/><br/>We are hiring an experienced Data Engineer to design and maintain scalable data pipelines and architectures.

Youll play a key role in building robust data infrastructure to support analytics, ML models, and business insights.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Build, optimize, and maintain ETL pipelines for large-scale data ingestion and transformation.<br/><br/>- Design scalable data architectures using AWS (S3, Glue, Redshift, Lambda, EMR).<br/><br/>- Develop automation scripts using Python / PySpark.<br/><br/>- Collaborate with data scientists and analysts to ensure high-quality data availability.<br/><br/>- Implement data governance, monitoring, and quality checks.<br/><br/>- Tune SQL queries and manage large datasets efficiently.<br/><br/><b>Technical Skills Required : </b><br/><br/>- Strong experience in Python, SQL, and ETL tools.<br/><br/>- Hands-on with AWS data stack : S3, Redshift, Glue, Lambda, EMR, Athena.<br/><br/>- Experience with Apache Airflow / Spark / Kafka preferred.<br/><br/>- Familiarity with data warehousing and modeling concepts.<br/><br/>- Strong understanding of version control (Git) and CI/CD pipelines.<br/><br/><b>Qualifications : </b><br/><br/>- B.Tech / M.Tech / MCA in Computer Science, IT, or related discipline.<br/><br/>- 4 - 8 years of relevant experience in data engineering.<br/><br/><b>What We Offer : </b><br/><br/>- Opportunity to work on large-scale distributed data systems.<br/><br/>- Collaborative environment with cross-functional exposure.<br/><br/>- Great learning curve and market-leading compensation</p><br/></p> (ref:hirist.tech)