Sr. Engineer Azure Databricks

Quadrangle

5 - 10 years

25 - 40 Lacs

gurugram

Posted:1 week ago| Platform:

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Skills Required

azure databricks azure implementation sap dwh databricks architecture cost optimization data warehousing compute optimisation

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Technical Expertise:

5+ years in data engineering, with a strong focus on Databricks and Azure ecosystems.
Deep hands-on experience with Data Factory, Databricks Lakehouse Architecture, Delta Lake, PySpark, and Spark job optimization.
Proficiency in Python, SQL, and optionally Scala for building scalable ETL/ELT pipelines.
Strong SQL skills are essential, with hands-on experience in SQL Server or other RDBMS platforms.
Strong experience in designing and optimizing DLT pipelines, managing assets like notebooks and libraries, and configuring Databricks Workspaces. Knowledge on observability tools, Airflow, DBT, Snowflake, Fabric, Fivetran is a plus.

Preferred Candidate Profile:

Databricks or cloud certifications (e.g., Databricks Certified Data Engineer Associate/Professional, Azure Data Engineer Associate).
Advanced expertise in PySpark and Spark DAG orchestration and optimization techniques.
Automation experience with CI/CD pipelines using Azure DevOps, Jenkins, or Octopus.
Familiarity with data mesh principles, data governance, and distributed architecture patterns.
Knowledge on observability tools, Airflow, DBT, Snowflake, Fabric, Fivetran is a plus.

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