Senior Data Engineer, AWS

Evnek

contract

Posted on: 1/13/2026

Location Type: Hybrid

Location: Bangalore • India

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About the role

Design, develop, and maintain scalable data processing pipelines using Python, PySpark, and Spark SQL
Build and optimize distributed data processing workflows on AWS platforms.
Leverage AWS data services such as EMR, Glue, Lambda, and S3 for batch and real-time data processing.
Design and manage data storage solutions using RDS/MySQL, Redshift , and other AWS-native databases.
Implement effective data modeling, schema design, and schema evolution strategies.
Perform performance tuning and optimization of Spark jobs and SQL queries.
Monitor and troubleshoot data pipelines using AWS CloudWatch and logging frameworks.
Manage secrets and credentials securely using AWS Secrets Manager.
Collaborate with data architects, analysts, and stakeholders to translate business requirements into technical solutions.
Debug complex data issues and provide root cause analysis with long-term fixes.
Ensure data quality, reliability, and scalability across platforms

10–13 years of overall experience in Data Engineering
Strong proficiency in Python and SQL
Extensive hands-on experience with PySpark and Spark SQL
Strong experience with AWS data services , including: EMR Glue Lambda S3 RDS / MySQL Redshift CloudWatch Secrets Manager
Solid understanding of distributed computing concepts
Strong experience in data modeling, schema handling, and performance tuning
Excellent debugging, analytical, and problem-solving skills.
Ability to work effectively in a hybrid and collaborative environment

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonSQLPySparkSpark SQLdata modelingschema designperformance tuningdebuggingdata processing

analytical skillsproblem-solving skillscollaborationcommunication