Databricks Engineer

Locations: Pune/Hyderabad (Hybrid)

Job Description

Job Summary

Design, develop, and optimize scalable data engineering solutions using Databricks and Apache Spark.

Develop and maintain ETL/ELT pipelines and support enterprise data engineering initiatives using Databricks.

Validate Contemporary Data Platform implementations with a focus on Databricks and Snowflake through end-to-end data testing.

Key Responsibilities
Design and develop ETL/ELT pipelines
Build Spark applications (PySpark/Scala)
Optimize Spark jobs
Work with Delta Lake & Unity Catalog
Integrate cloud data sources
Ensure data quality and governance
Develop ETL/ELT pipelines
Build PySpark applications
Write and optimize SQL queries
Work with Delta Lake
Monitor production pipelines
Support data migration and transformations
Validate ETL/ELT pipelines
Perform source-to-target data validation
Test business rules and transformations




Validate Snowflake implementations
Execute SQL-based testing
Perform regression/integration testing
Track defects using Jira

Mandatory Skills
5+ years Data Engineering experience
Databricks
Apache Spark (PySpark/Scala)
Advanced SQL
Delta Lake
Azure/AWS Databricks
Git & CI/CD
Airflow/ADF

Preferred Skills

Snowflake, Azure Data Factory, AWS Glue, DevOps, Agile

Snowflake, Azure Data Factory, Airflow, Data Lake Concepts

PySpark, Azure Data Factory, Airflow, Test Automation, Agile

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Databricks Engineer Hyderabad
🏢 Inforizon
📍 Hyderabad