Job Description

Key Responsibilities:

Design, build, and maintain

ETL/ELT pipelines

using Databricks. Work with

PySpark

,

SQL

, and Delta Lake for scalable data processing. Build and optimize data pipelines and architectures in cloud environments. Collaborate with data analysts, BI teams, and business stakeholders. Ensure data quality, validation, and reliability across systems. Integrate structured and unstructured data from multiple sources. Apply performance tuning and best practices for Databricks and Spark. Maintain documentation and follow data governance standards.

Required Skills:

Strong hands-on experience with

Databricks

Strong

PySpark

and

SQL

knowledge Experience with

Delta Lake

, job clusters, notebooks Good understanding of

ETL frameworks

, CI/CD, and data modeling Experience with cloud platforms (

AWS / Azure / GCP

) Knowledge of

Spark optimization

, partitioning, and caching Hands-on experience with

Git / GitHub / Azure DevOps

Job Type: Full-time

Pay: ₹700,000.00 - ₹1,000,000.00 per year

Work Location: Remote