Job Title: Senior AWS Data Engineer
Location: Bangalore, India
Experience: 58 Years
Budget: 2328 LPA
Notice Period: 030 Days (Immediate Joiners Preferred)
Company: EY (Ernst & Young)
Job Description
EY is seeking a Senior AWS Data Engineer with strong hands-on experience in designing, developing, and deploying scalable data solutions on the AWS ecosystem. The ideal candidate should have a deep understanding of modern data architectures, ETL/ELT pipelines, and cloud-native data processing frameworks.
Key Responsibilities
- Design, build, and optimize large-scale data pipelines and workflows on AWS.
- Implement data ingestion, transformation, and integration solutions using AWS Glue, Lambda, and Airflow.
- Work with Databricks for advanced data processing, analytics, and model deployment.
- Develop and maintain data solutions leveraging Python for scripting and automation.
- Implement and manage data storage, processing, and orchestration across Snowflake and AWS data services (S3, Redshift, etc.).
- Collaborate with cross-functional teams to ensure data quality, governance, and security.
- Contribute to the design of Master Data Management (MDM) processes and frameworks.
Mandatory Skills
- AWS (Glue, Lambda, S3, Redshift, IAM, CloudWatch)
- Snowflake
- Databricks
- Airflow
- Python (Data Engineering Focus)
- ETL/ELT Development and Optimization
- Basic knowledge of MDM principles
