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Vazidulla Khan
Talent acquisition specialist with 8+ years of experience Current OGS,Ex-Google,Kaseya and Nisumit · Omnicom
2d ago
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Senior Databricks Data EngineerOmnicom

🚀 We are Hiring! Senior & Mid-Level Databricks Data Engineers 🚀 Looking to drive a massive, enterprise-scale strategic migration from Informatica to Azure Databricks? Omnicom is expanding its Tech Delivery team in India, and we want you! We are looking for highly skilled, hands-on data engineering professionals for Mid & Senior roles who can join us quickly and help shape modern Data Lakehouse architectures. 📍 Locations: Bangalore | Hyderabad | Chennai 🏡 Work Model: Full-Time, Hybrid (5 Days Working) 🕒 Shift Timings: 2:00 PM to 11:00 PM IST ⏱️ Notice Period: Max 30 Days (Immediate joiners preferred) ⚡ Interview Process: Fast-tracked! Just 1 Round of Face-to-Face (F2F) Interview at our local offices. Perks & Benefits: 🚙 Free company-provided transport 🍲 Free food/meals at the office 💰 Additional allowances included What You’ll Do: Lead and execute complex ETL/ELT migrations from Informatica to Azure Databricks. Design, build, and optimize performant batch and streaming pipelines using PySpark and SQL. Develop robust frameworks utilizing Delta Lake and Medallion Architecture (Bronze, Silver, Gold). Build scalable ingestion frameworks and establish data quality, reconciliation, and validation processes. What We’re Looking For: Core Tech: Strong hands-on expertise in Azure Databricks, PySpark, SQL, and modern Data Lakehouses. Database & Migration: Oracle Database (Must-Have), Oracle SQL/Stored Procedures, and Informatica PowerCenter/IICS. Azure Ecosystem: ADLS Gen2, Azure Data Factory, Synapse Analytics, Key Vault, and Azure DevOps. Engineering Best Practices: CI/CD pipelines, Git, and Infrastructure as Code (Terraform). Bonus Points: Databricks LakeBridge, GPT/Claude AI integration, or active Databricks/Azure certifications. Why Omnicom? Omnicom sits at the intersection of data, technology, and marketing innovation. We work with global giants to invent a new future for digital transformation. 📩 How to Apply: If you fit the experience bracket, are comfortable with the 2 PM - 11 PM shift, and can drop by for a F2F round, please drop your updated resume in the comments below or DM me directly with your Current CTC, Expected CTC, and Notice Period. Let’s build something massive together! 💻✨ #DataEngineerJobs #Databricks #Hiring #PySpark #Azure #DataEngineering #TechJobsIndia #BangaloreJobs #HyderabadJobs #ChennaiJobs #OmnicomJobs #DataJobs Hari V P Rao Abhilash Prakash M E
data senior hybrid Bangalore azuredatabrickspyspark
Anshul Mhaskar
Co-founder @ Varys DI | Entrepreneur | Enterprise AI | Digital Transformation | Business Strategy | BCG-Certified Consultant | MBA · Varys DI
3d ago
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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
data senior remote Remote databrickspythonazure
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