About the role
Experience Range:5+ Years
Location: Delhi, Pune, Chennai, Hyderabad, Bengaluru
Job Description
Key Responsibilities:
- Design and develop ETL pipelines using AWS Glue and PySpark
- Build and manage scalable data solutions on AWS (S3, Redshift, EMR, Lambda)
- Process large-scale data using Apache Spark ecosystem
- Ensure data quality, security, and performance optimization
- Develop batch and near real-time data processing workflows
- Collaborate with stakeholders to deliver data-driven solutions
Required Skills & Experience:- 5+ years of experience in Data Engineering
- Strong hands-on experience in Python, PySpark, and SQL
- Expertise in AWS Glue, S3, Redshift, EMR, Lambda
- Experience with Apache Spark / Hadoop ecosystem
- Strong Data Warehouse experience (Redshift/Hive)
- Experience with Airflow or scheduling tools
- Knowledge of ETL design, data modeling, and OLTP/OLAP systems
Good to Have:- Exposure to AWS Athena, Step Functions
- Experience with NoSQL (DynamoDB, MongoDB)
- Knowledge of Data Lakes and modern data architectures
- Familiarity with ETL tools like Informatica/Netezza