Job Description

Experience: 7+Years

Employment Type: Full-Time

Location: Pan India (Hybrid)



Job Overview

We are looking to onboard a Senior Data Engineer to form and support a dedicated OGA Scrum Team . The ideal candidate will bring strong hands-on expertise in Databricks and Azure-based data platforms , contribute as a senior individual contributor, and collaborate closely with onshore and offshore team members in an Agile delivery model.

Key Responsibilities

  • Design, develop, and maintain scalable batch and streaming data pipelines using Azure Databricks and Azure Data Factory (ADF) .
  • Build and manage Databricks workflows for orchestration, monitoring, and dependency management.
  • Develop robust data transformations using PySpark, Python, and Databricks SQL .
  • Implement config-driven data pipelines to enable reusable, scalable, and low-maintenance data processing.
  • Leverage Databricks Genie for conversational, AI-driven data insights using no-code/low-code approaches .
  • Utilize GitHub Copilot for code completion and productivity acceleration within Databricks environments.
  • Design and optimize data models , including Star Schema and Snowflake Schema , for analytics and reporting use cases.
  • Work with open table formats such as Delta Lake and Apache Iceberg to support modern lakehouse architectures.
  • Implement and optimize data virtualization schemes to enable seamless data access across heterogeneous sources.
  • Ensure data quality, reliability, performance, and cost optimization across pipelines.
  • Collaborate with US onshore stakeholders and offshore team members within Agile Scrum ceremonies.
  • Contribute to sprint planning, estimation, code reviews, and production support.

Required Skills & Qualifications

  • Strong hands-on experience with Azure Databricks .
  • Proven expertise in Azure Data Factory (ADF) and Databricks Workflows .
  • Advanced programming skills in PySpark, Python, and Databricks SQL .
  • Experience building config-driven and metadata-driven data pipelines .
  • Solid understanding of data modeling techniques (Star Schema, Snowflake Schema).
  • Hands-on experience with Delta Lake and Apache Iceberg .
  • Strong experience working on Azure cloud platforms (preferred).
  • Knowledge of data virtualization concepts and architectures .
  • Experience working in Agile/Scrum teams , preferably in an OGA delivery model .
  • Strong problem-solving, communication, and collaboration skills.

Nice to Have

  • Exposure to Databricks Genie or similar AI-assisted analytics tools.
  • Experience using GitHub Copilot or AI-based developer productivity tools.
  • Experience with streaming technologies (Kafka, Event Hubs).
  • Understanding of security, governance, and access control in Databricks (Unity Catalog).
  • Prior experience working with US-based clients or stakeholders.

What We’re Looking For

  • Senior-level engineers who can operate independently while mentoring junior team members.
  • Engineers comfortable working across time zones in an OGA model.
  • Strong ownership mindset with a focus on quality and delivery excellence.

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