Senior Data Engineer

Job Summary

We are looking for an experienced Data Engineer to build and optimize scalable data pipelines and AWS\-based data platforms.

Key Responsibilities

• Develop and maintain data pipelines using Python and PySpark.
• Design and implement data lakehouse solutions on AWS.
• Build and manage data workflows using AWS Glue, EMR, ECS, and Step Functions.
• Work with DynamoDB and other data storage technologies.
• Monitor data pipelines and ensure data quality, performance, and reliability.
• Collaborate with stakeholders and engineering teams to deliver data solutions.

Mandatory Skills

• 5\+ years of overall professional experience.
• 3\+ years of experience in data platforms and big data technologies.
• Strong proficiency in Python and PySpark.
• Hands\-on experience with AWS EMR, ECS, Glue, Step Functions, and DynamoDB.
• Experience designing and implementing AWS data lakehouse architectures.

Good to Have

• Apache Spark and Apache Iceberg.
• AWS Lambda, EventBridge, Kinesis, and Redshift.
• Experience with real\-time data pipelines and event\-driven architectures.

Pay: ₹1,010,000\.00 \- ₹1,580,000\.00 per year

Work Location: In person