Enable Data Incorporated
via Workable
Senior AWS Data Engineer & Lead AWS Data Engineer (Individual contributor)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-08-28). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 10d ago · last seen 1h ago
The listing
We are seeking a Senior Data Engineer to design, develop, and deploy enterprise data pipelines and data products using AWS, Databricks, and Medallion Architecture. The ideal candidate will have deep technical expertise in Databricks and AWS and be comfortable working hands-on across the full data engineering lifecycle.
Required Qualifications
- Strong hands-on Data Engineering experience.
- Expert-level experience with Databricks.
- Strong hands-on experience with Databricks Unity Catalog.
- Strong experience designing Medallion Architecture (Bronze/Silver/Gold) data pipelines.
- Advanced Python/PySpark and SQL skills.
- Strong experience with AWS, particularly S3 and AWS Glue.
- Hands-on experience with Databricks Asset Bundles (DABs).
- Strong Git experience with GitHub Enterprise and GitHub Actions.
- Experience implementing CI/CD for data engineering and Databricks workloads.
- Strong understanding of data engineering best practices, data modeling, and pipeline optimization.
- Experience working in Agile/Scrum development environments.
Ideal Candidate
The ideal candidate is a senior-level, hands-on Databricks Data Engineer. They should be comfortable writing code, building pipelines, troubleshooting production issues, implementing CI/CD, and working directly in Databricks and AWS on a daily basis