Lead I - Data Engineering (PySpark, Databricks)

Data Engineer - Job Description

We are seeking a skilled Data Engineer with strong expertise in PySpark and Databricks to design, develop, and maintain scalable data pipelines.

Role Scope / Responsibilities

Design and develop new data pipelines in Databricks

Support and maintain existing data pipelines in Databricks

Monitor and resolve day-to-day job failures and performance issues

Ensure data pipelines are optimized for performance and scalability

Work independently while collaborating with cross-functional teams as required.

Key Skills Qualifications

Minimum 6 years of overall experience in Data Engineering

Strong hands-on experience in PySpark and Databricks (minimum 5+ years)

Experience working with cloud platforms (AWS/Azure - preferably AWS)

Good understanding of data pipeline design and performance optimization

Excellent communication skills

Ability to work independently and handle production support activities.

Mandatory Skills

PySpark

Databricks

Skills data engineering , pyspark , databricks , cloud platforms

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.