Senior Data Engineer
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Salary
≈ $27k – $59k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 8+ years exp
First seen by Alion on Aug 28, 2026.
Overview
Company
Impact
Profile match
Enable Data specializes in advanced data, application and cloud solutions working on cutting-edge projects driving innovation and transformation for our customers. We empower our customers to leverage modern solutions to deliver increased value across their business ecosystem. We help clients by providing consulting, managed project and staff augmentation services working with clients across various industries including healthcare, financial, media, insurance, and manufacturing.
Total Experience : 8+ Years
Notice Period : Immediate Joiner
Location : India (Remote)
We are seeking a Senior, hands-on 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.
Key Responsibilities :
- Design, develop, and deploy Bronze, Silver, and Gold data pipelines using Medallion Architecture.
- Build scalable data products using Databricks and AWS Glue.
- Develop complex data transformations and pipelines using Python, PySpark, and SQL.
- Implement and manage Databricks Unity Catalog for data governance, security, and access control.
- Develop and deploy Databricks workloads using Databricks Asset Bundles (DABs).
- Utilize AWS S3 and other AWS services to support enterprise data platforms.
- Implement CI/CD pipelines using GitHub Enterprise and GitHub Actions.
- Optimize data pipelines for performance, reliability, scalability, and cost.
- Collaborate with data architects, engineers, analysts, and business stakeholders to deliver data products.
- Participate in Agile development practices, sprint planning, code reviews, and technical discussions.
- Troubleshoot production data pipelines and resolve complex technical issues.
Skills
Data Engineering, AWS, Python, PySpark, Databricks, Medallion Architecture
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