We're looking for a Senior Data Engineer to design, build, and scale up-to-date data platforms on AWS. You'll work with Python, Spark, DBT, and AWS-native services in an Agile environment to deliver scalable, secure, and high-performance data solutions.

Experience: 7–10 years of experience in data engineering, with 4+ years on AWS platforms What you'll do - Develop and optimize ETL/ELT pipelines with Python, DBT, and AWS services (Data Ops Live).

- Build and manage S3-based data lakes using modern data formats (Parquet, ORC, Iceberg).
- Deliver end-to-end data solutions with Glue, EMR, Lambda, Redshift, and Athena.
- Implement strong metadata, governance, and security using Glue Data Catalog, Lake Formation, IAM, and KMS.
- Orchestrate workflows with Airflow, Step Functions, or AWS-native tools.
- Ensure reliability and automation with CloudWatch, CloudTrail, CodePipeline,



and Terraform.
- Collaborate with analysts and data scientists to deliver business insights in an Agile setting.

Required Skills & Experience - Strong in Python (incl. AWS SDKs), DBT, SQL, and Spark

- Proven expertise with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
- Hands-on experience with workflow orchestration (Airflow/Step Functions)
- Familiarity with data lake formats (Parquet, ORC, Iceberg) and DevOps practices (Terraform, CI/CD)
- Solid understanding of data governance & security best practices Bonus - Exposure to Data Mesh principles and platforms like Data.World
- Familiarity with Hadoop/HDFS in hybrid or legacy environments

📌 Sr Data Engineer (Bengaluru)
🏢 Veraxion
📍 Bengaluru