Databricks Engineer - Senior/ Lead

Company shown to members 🔒 · Remote · India only

India only6+ years requiredPublished 6 October 2026Looks fresh

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
6+ years required
Where you can live
India only
Skills and tools
sql, python, azure, git, ci/cd
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
India
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
6+ years required
Employer publication date
6 October 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

We are looking for an experienced Azure Databricks Engineer with strong hands-on expertise in Python, SQL, and Apache Spark to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Databricks
  • Implement ETL/ELT workflows using PySpark, Spark SQL, and Python
  • Optimize Spark jobs for performance, cost, and scalability
  • Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)
  • Build and manage Delta Lake tables (ACID, time travel, schema evolution)
  • Integrate Databricks with Azure Data Lake Storage (ADLS Gen2)
  • Develop complex queries and transformations using SQL
  • Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases
  • Ensure data quality, validation, and monitoring
  • Follow best practices for security, access control, and governance in Azure
  • 6+ years of experience in Data Engineering
  • Strong hands-on experience with Azure Databricks
  • Proficiency in Python for data processing
  • Strong knowledge of SQL (joins, window functions, performance tuning)
  • Hands-on experience with Apache Spark / PySpark
  • Experience working with Delta Lake
  • Knowledge of Azure Data Lake Storage (ADLS Gen2)
  • Understanding of distributed computing concepts
  • Experience with Git version control
  • Experience with Azure Data Factory
  • Exposure to CI/CD pipelines (Azure DevOps, GitHub Actions)
  • Basic understanding of data modeling
  • Familiarity with cloud security and RBAC in Azure
  • Exposure to streaming data (Spark Structured Streaming, Event Hub, Kafka)

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit  [link for members] .

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