We are looking for a skilled AWS Data Engineer with hands-on experience in AWS cloud technologies, Databricks, Python, and solid SQL. The ideal candidate should have experience building and maintaining data pipelines, processing large datasets, and developing efficient data engineering solutions.

Key Responsibilities
Design, develop, and maintain scalable data pipelines on AWS.
Work with Databricks for data processing, transformation, and analytics.
Use Python and PySpark for data engineering and transformation tasks.
Write, optimize, and maintain complex SQL queries.
Work with AWS services for data ingestion, storage, processing, and integration.
Perform data validation, troubleshooting, and performance optimization.
Ensure data quality, reliability, and productive pipeline execution.

Required Skills




Hands-on experience with AWS data engineering services.
Robust proficiency in Python.
Strong SQL skills, including complex queries, joins, and data transformations.
Practical experience with Databricks.
Understanding of ETL/ELT processes and data pipeline development.
Experience working with large datasets and data processing workflows.

Compensation Structure
Fixed salary structure.
No variable pay component.

Preferred Candidate Profile

Candidates with hands-on experience in AWS, Databricks, Python, and SQL who can independently contribute to data engineering projects are preferred.

Pay: ₹1,800,000.00 - ₹4,000,000.00 per year

Work Location: In person

📌 Aws Data Engineer Chennai (India)
🏢 Realply Industries (P
📍 India