Mandatory Skills
AWS Glue
AWS Lambda
AWS S3
What You'll Be Working On
Build and maintain end-to-end data pipelines using AWS services (Glue, Lambda, S3, Athena & Step Functions)
Develop robust ETL/ELT solutions using Python, PySpark, and SQL
Integrate data from APIs, databases, Snowflake, Redshift, and other data sources
Process data in CSV, JSON, and Parquet formats
Work with streaming technologies such as Kafka, Kinesis, and Apache Flink
Collaborate with Product Managers, Architects, QA teams, and stakeholders in an Agile/Scrum environment
Support deployment, optimization, and monitoring of cloud data pipelines
7–9 years of hands-on experience in Data Engineering
Strong expertise in AWS data services and cloud-native architecture
Excellent knowledge of Python, PySpark, and SQL
Experience with streaming data technologies is highly preferred
Strong communication, analytical, and stakeholder management skills
Benefits:
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
