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 workplace 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 contemporary data formats (Parquet, ORC, Iceberg).

Deliver end-to-end data solutions with Glue, EMR, Lambda, Redshift, and Athena.

Implement solid 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