Senior AWS Data Engineer – Lead AWS Data Engineer

Job not on LinkedIn

🔥 16 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Enable Data

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Enable Data is a company that offers modern IT solutions to empower its customers by leveraging innovative data analytics and cloud platforms to drive increased value across their business ecosystem. They specialize in the implementation of large-scale SAS applications, distributed rules engines for processing health-related data, and managing data ingest frameworks. Enable Data serves industries requiring advanced data analytics and IT solutions, with a particular focus on healthcare quality and big data management.

📋 Description

• Design, develop, and deploy enterprise data pipelines and data products using AWS, Databricks, and Medallion Architecture • Work hands-on across the full data engineering lifecycle • Write code and build data pipelines • Troubleshoot production issues • Implement CI/CD • Work directly in Databricks and AWS on a daily basis

🎯 Requirements

• 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