Senior Data Engineer (AWS)

Job Title: Senior Data Engineer (AWS) Experience: 10 13 Years Location: Pune / Bangalore / Hyderabad / Noida / Mumbai Work Mode: Hybrid Shift Timings: 11:00 AM 8:00 PM Notice Period: Immediate Joiners Only Job Overview We are seeking an experienced Senior Data Engineer with strong expertise in Python, SQL, PySpark, and AWS data services to support enterprise-scale data processing and analytics initiatives. The ideal candidate will have deep experience in distributed data systems, performance tuning, and cloud-based data platforms, and will work closely with cross-functional teams in a hybrid working model. Key Responsibilities 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. Required Skills & Qualifications 1013 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.

5+ years
Data Engineer, AWS