AWS Data Engineer | 6 to 9 Yrs | 25 LPA | One of the Big 4

Job Title: AWS Data Engineer

Experience: 6 to 9 Years

Budget: 20 to 25 LPA

Location: Bangalore

Type: Full-Time

Job Description:

We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you

Key Responsibilities:

• Develop and maintain ETL/ELT data pipelines using AWS Glue, Lambda, and Step Functions .
• Design and manage data lakes and data warehouses using AWS S3, Redshift, and Athena .
• Implement real-time and batch data processing using AWS Kinesis, EMR, and Spark .
• Optimize query performance and storage costs in Redshift, Athena, and DynamoDB .
• Ensure data quality, security, and governance best practices.
• Automate infrastructure deployment using Terraform or CloudFormation .
• Work with cross-functional teams (Data Science, DevOps, BI) to support data-driven projects.
• Monitor and troubleshoot data pipelines using AWS CloudWatch, AWS X-Ray, or Prometheus .

Required Skills & Qualifications:

• 6+years of experience in data engineering and cloud-based data solutions.
• Hands-on experience with AWS data services (Glue, Redshift, S3, Athena, Kinesis, EMR).
• Proficiency in SQL and Python for data transformation and automation.
• Experience with big data frameworks like Apache Spark or Hadoop .
• Understanding of data modeling, warehousing concepts, and ETL best practices .