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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

We are looking for an experienced Data Platform Production Support Engineer to support and maintain an enterprise data platform, ensuring reliable data pipelines, accurate reporting, and timely incident resolution. Key Responsibilities: • Provide L1/L2 production support for data platforms and pipelines. • Monitor pipeline health, investigate failures, and resolve incidents within defined SLAs. • Troubleshoot data pipeline failures and dashboard/data issues across source, ingestion, transformation, warehouse, and BI layers. • Perform Root Cause Analysis (RCA) and recommend preventive measures for recurring issues. • Support automated failure detection, ServiceNow incident management, and incident tracking. • Validate data quality, transformations, dependencies, and upstream/downstream impacts. • Maintain runbooks, knowledge articles, and operational documentation. • Identify opportunities to improve monitoring, alerting, automation, and operational efficiency. • Collaborate with Data Engineering, Analytics Engineering, Platform, Security, Business teams, and vendors. Required Skills: • 3+ years of experience in Data Engineering, Data Platform Operations, or Production Support. • Strong SQL skills for data investigation and validation. • Solid understanding of data pipelines, ETL/ELT processes, and end-to-end data flow. • Hands-on experience with Snowflake or similar cloud data warehouses. • Experience in production troubleshooting, RCA, incident management, SLA compliance, and escalation processes. • Ability to identify upstream/downstream dependencies and communicate effectively with stakeholders. • Comfortable supporting distributed teams across IST and North American time zones. Preferred Skills: • Experience with Fivetran, dbt Cloud, Sigma, or Atlan. • Familiarity with ServiceNow, Splunk, and monitoring/observability tools. • Python or scripting skills for support automation. • Knowledge of CI/CD, Git/GitHub, data quality, monitoring, and alerting. • Experience supporting enterprise cloud data platforms and integrations. Ideal Candidate: A proactive problem-solver with strong analytical skills, excellent communication, and the ability to work in a high-volume production support environment. Interested candidates can apply or share their profiles. Location: Remote (contract) Please send your resume with current and expected CTC on parsavtek@gmail.com / hello@parsavtek.com #Hiring #DataEngineering #ProductionSupport #Snowflake #SQL #DataPlatform #ETL #ELT #RCA #TechJobs #Remote