Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 23 hours ago
2-5 years
Mumbai, India | Noida, India | Pune, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 10 Jan 2027

Posted: 23 hours ago
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Job Description

female Candidate are Preferred
Location: Mumbai/ Jaipur

About the Role

We’re looking for a Data Engineer to build and operate modern data platforms on Azure Databricks.

You’ll work with a Senior Architect on solution design and own the implementation end-to-end—from ingestion and transformation to deployment, monitoring and production support. Alongside strong data engineering skills, you’ll also take ownership of the platform/DevOps aspects of the solution.

We’re building for an AI-native world, so we expect you to use AI coding agents, AI-assisted development, reusable skills/workflows and agentic automation to make engineering faster, smarter and more reliable.
What You'll Do
  • · Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL and Delta Lake.
  • · Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
  • · Build streaming solutions using Structured Streaming and Azure Event Hubs.
  • · Work with ADLS Gen2, Azure Key Vault and Azure DevOps.
  • · Own CI/CD, deployment automation, monitoring and production troubleshooting.
  • · Optimize data pipelines and Databricks workloads for performance, reliability and cost.
  • · Build analytical datasets and dashboards using BI/visualization tools.
  • · Develop data products that can support analytics, ML, GenAI and agentic applications.
  • · Leverage AI agents and AI-native developer tools for coding, testing, documentation, troubleshooting and automation.
  • · Collaborate with architects, analysts and business stakeholders to deliver production-ready solutions.
  • What We're Looking For
  • · 4–6 years of hands-on experience in Data Engineering / Data Platforms.
  • · Strong Python/PySpark and SQL skills.
  • · Strong hands-on experience with Azure Databricks, Delta Lake and Medallion Architecture.
  • · Experience with batch + real-time/streaming data engineering.
  • · Hands-on experience with Unity Catalog, Databricks Workflows/Jobs and Structured Streaming.
  • · Experience with ADLS Gen2, Event Hubs, Azure DevOps/Git and Key Vault.
  • · Good understanding of CI/CD, cloud security and production operations.
  • · Hands-on experience with a BI/dashboarding tool.
  • · Strong problem-solving and ownership mindset.
  • · Comfortable using AI coding assistants/agents and eager to adopt emerging AI-native engineering practices.
  • Good to Have
  • · Databricks or Azure certifications.
  • · Lakeflow/DLT, Terraform/IaC or Kafka.
  • · Experience with AWS/GCP and Databricks.
  • · Exposure to GenAI, RAG or agentic applications.
  • · Experience in Telecom, Media, Advertising/AdTech.

    If you enjoy building production-grade data platforms—and using AI to fundamentally improve how you build and operate them—we’d love to hear from
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    Skills

    PythonSQLRAGData EngineeringPySparkKafkaDatabricksAWSAzureGCPTerraformCI/CDDevOpsGit

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