Pyspark Data Engineer (Immediate Joiner)

We are looking for a skilled Data Engineer with hands-on experience in PySpark and Databricks to design, develop, and optimize large-scale data pipelines. The ideal candidate should have strong problem-solving skills, experience working in cloud-based environments, and the ability to collaborate effectively with cross-functional teams.

Key Responsibilities :

• Develop and maintain ETL / ELT pipelines using PySpark on Databricks.
• Optimize data processing workflows for performance and scalability .
• Work with structured, semi-structured, and unstructured data from multiple sources.
• Collaborate with data scientists, analysts, and business teams to deliver clean, reliable datasets .
• Implement data quality checks, validations, and monitoring .
• Support migration of existing pipelines to cloud platforms (Azure / AWS / GCP).
• Document technical solutions, workflows, and best practices.

Required Skills :

Skills Required

Spark SQL, Performance Tuning, Pyspark, Optimization, Sql, ELT, Git, Gcp, Databricks, Azure, Aws, Etl