Senior Data EngineerVarys DI
This is a full-time remote role, and needs strong hands-on experience with Databrick, python, Azure and AWS.
You’ll be building and owning data pipelines end-to-end — ingestion to curated, analytics-ready data — on a modern lakehouse stack. Medallion architecture, Delta Lake, Unity Catalog, DLT, PySpark. The works.
What we’re looking for:
1. 5+ years in data engineering (real experience, not resume padding)
2. Deep Databricks hands-on: Spark, Delta Lake, Workflows, Unity Catalog, cluster tuning
3. Expert-level Python: OOP, packaging, testing, the full software engineering discipline
4. Strong Azure (ADLS Gen2, ADF, Event Hubs) and AWS (S3, Glue, Lambda, Kinesis)
5. Can work with a minimum 4-hour daily overlap with US Eastern Time
Candidate's preferred location: Mumbai or Pune, though the role is remote.
If this sounds like you, send over your resume and a short note on your most relevant Databricks and Python project to connect@varysdi.com (No DMs). High intent only. AI slop is deeply discouraged and frowned upon!
If anyone in your network comes to mind after reading this, we appreciate you pointing them our way.
#Hiring #DataEngineering #Databricks #Python #Azure #AWS #DataPlatform #RemoteWork #LakeHouse #PySpark #TechHiring #DeltaLake #DataEngineer
Varys DI Parth Waidya
tal saysbuild and own end-to-end data pipelines on a modern databricks lakehouse stack at varys di
data
senior
remote
Remote
databrickspythonazureawspyspark
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