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Open nowPosted 2 days ago

Sr Data Engineer (Databricks)

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowSr Data Engineer (Databricks)Workable (global search) · Bengaluru, KA, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 2 days ago

Workable (global search) median: 7 days open

The posting

Position Overview:

  • Lead the design, architecture, and optimization of enterprise-scale data pipelines using Azure Databricks for ACDP projects, driving innovation in DATA & AI initiatives.
  • Leverage 7-8 years of expertise to mentor teams, ensure scalability, and deliver mission-critical data solutions.

Key Responsibilities:

  • Architect and implement end-to-end data pipelines with Azure Databricks (notebooks, jobs, clusters) for ingestion, ETL/ELT, and complex transformations, incorporating Medallion Architecture (Bronze, Silver, Gold) using Delta Lake for ACID compliance, versioning, schema evolution, and data quality.
  • Provide hands-on leadership in Databricks Spark (PySpark, Scala, SQL), Delta Live Tables, Structured Streaming, and Unity Catalog for advanced governance, security, and multi-workspace management.
  • Integrate with Azure ecosystem including ADLS Gen2, Azure SQL Database, Serverless/Dedicated SQL Pools; orchestrate via Databricks workflows and hybrid ADF triggers for high-volume ACDP workloads.
  • Design and deploy CI/CD pipelines using Azure DevOps, Bicep for infrastructure-as code, and advanced automation for Databricks workspaces, emphasizing zero downtime deployments and cost optimization.
  • Champion data quality, validation, cleansing with Databricks expectations/constraints, and compliance via RBAC, encryption, and Purview; mentor on best practices for Photon engine, auto-scaling, spot instances, and performance tuning
  • Collaborate with senior analysts, data scientists, and executives to translate complex business requirements into reusable Databricks components, fostering AI/ML integration.
  • Drive monitoring, troubleshooting, and optimization for petabyte-scale processing, including unstructured data handling, data modeling, and streaming from Kafka/Event Hubs

Requirements

Required Qualifications:

  • 7-8+ years in data engineering, with deep Azure Databricks expertise for big data processing in high-demand environments
  • Advanced proficiency in Python/PySpark, SQL, Scala; strong data architecture and distributed systems experience
  • Proven track record in cloud-native solutions (AZ-900+ preferred), CI/CD, and mentoring junior engineers
  • Excellent communication for stakeholder alignment and documentation

Preferred: Power BI, Power Automate, Azure ML, enterprise governance tools.

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