Role & responsibilities

- Strong expertise in Python, PySpark, Spark SQL, and SQL for developing scalable data pipelines and ETL processes.
- Knowledge of Databricks for data engineering and optimization, with Databricks certification considered an advantage.
- Knowledge of CI/CD, Infrastructure as Code (Terraform or CloudFormation), Git, and Agile delivery to support automated and reliable deployments.
- Proven experience migrating data from legacy platforms to AWS, including designing modern cloud based data architectures.
- Hands on experience with AWS data services including S3, Glue, Redshift, Athena, EMR, Lambda, and IAM.

Preferred candidate profile

- Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience.




- Proven 5 -13 years of experience as a AWS Data Engineer or similar role.Strong problem solving and analytical skills.
- Excellent verbal communication skills.
- Positive interpersonal skills.
- Ability to provide technical leadership for the team.

Please share your updated resume with below information to

[email protected]

Total experience:

Relevant experience:

Current Company:

Current CTC:

Expected CTC:

Any other offers in hand:

Notice Period(Mention LWD If you already resigned/relieved):

Current Location:

Prefer Location:

📌 AWS Data Engineers @ Capco (India)
🏢 CAPCO
📍 India