jobs in the wild.

We are hiring! 🚀 Tredence is looking for a Healthcare Domain SME (Quality Measures) for our Bangalore, Hyderabad, Pune, Gurgaon, or Chennai offices. If you have 8–10 years of US Healthcare experience and mastery over CMS Star Ratings, HEDIS, and Care Gaps, apply today to bridge the gap between clinical regulations and AI data pipelines! #HealthcareJobs #Hiring #DataAnalytics

I’m excited to be hiring a Senior Data Analyst II for my team in India! Join us in using analytics to make a meaningful impact across our global teams. Know someone who might be a great fit? Please share!

🚀 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

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

📍 Location: Remote – Only Bengaluru-based candidates 💼 Experience: 8–10 Years 🏢 Work Mode: Remote ⏰ Shift: 6:30 AM – 4:30 PM IST We are looking for an experienced Tableau Developer with strong expertise in advanced dashboard development, Google BigQuery, data modelling, and performance optimization. 🔹 Key Skills Required ✅ Tableau Desktop & Tableau Server/Cloud ✅ Google BigQuery integration ✅ Advanced Tableau calculations and LOD expressions ✅ FIXED, INCLUDE & EXCLUDE ✅ Data blending, joins, relationships & data modelling ✅ Dashboard performance tuning and optimization ✅ Interactive dashboards, KPIs & executive reporting ✅ Agile/Scrum and Jira ✅ Excellent client-facing communication skills 🔹 Key Responsibilities • Design and develop interactive, high-performance Tableau dashboards. • Integrate Tableau with Google BigQuery and optimize query performance. • Build advanced visualizations using calculations, parameters, and LOD expressions. • Optimize dashboards for fast rendering and responsive viewing across devices. • Collaborate with international clients to understand business requirements. • Troubleshoot issues and deliver timely reporting solutions. 🎯 Ideal Candidate: Someone with strong hands-on Tableau expertise, proven BigQuery experience, and excellent communication skills. 📩 Interested candidates: Apply with your updated resume or share your profile. #Hiring #TableauDeveloper #Tableau #GoogleBigQuery #DataAnalytics #BusinessIntelligence #DashboardDevelopment #DataVisualization #BengaluruJobs #RemoteJobs

I'm hiring a Senior Data Engineer for a fast-growing AI startup that builds training data for physical AI and robotics. You'll own the full pipeline that turns real-world audio, video and first-person (egocentric) video into datasets that frontier AI labs train on: 🔹 Ingest: multimodal pipelines for audio, video and images at scale 🔹 Lake: AWS data lake on S3, Athena, Glue, Hudi and Lake Formation, at TB to PB scale 🔹 Validate: feed GPU-based validation without starving compute (sharding, manifests, I/O) 🔹 Deliver: delivery-ready datasets, orchestrated with Airflow What you need: • 4+ years in data engineering, owning pipelines end to end in production • Hands-on work with large audio/video pipelines (format conversion, chunking, metadata) • Strong Python and SQL, and production AWS experience • Hudi or Delta Lake, and Airflow • An understanding of how data formats (WebDataset, Parquet, TFRecord) affect GPU throughput Bonus: Ray, SLURM or AWS Batch, Hugging Face datasets, rclone, data lineage tools You'll work directly with the Head of Data and get real ownership from day one. 📩 Interested? DM me, or comment "interested" and I'll reach out. Referrals are welcome too. #hiring #dataengineering #bangalorejobs #AI #robotics #AWS #dataengineer #startupjobs