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Himalayas

Databricks Engineer - Senior/ Lead

Blend3602 weeks ago

Where you can work from
Remote — India onlyIndia
Salary
Salary not disclosedThe employer did not publish a range. We do not estimate one.
Job type
Full-time
Experience
Senior

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via Himalayas · Himalayas

Job description

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 .

Originally posted on Himalayas

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via Himalayas · Himalayas

Job availability & source

Still listed on the employer's own board at our last check, 6 days ago

This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.

Source
Himalayas
Posted by the employer
7 Oct 2026
First seen by us
13 Oct 2026
Last checked
18 Oct 2026

via Himalayas — view on source

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