Python / Databricks / PySpark Developer

Experience: 5 Years

Role: Data Engineer

Mandatory Skills: Python, PySpark, Databricks, SQL

Job Summary

We are looking for an experienced Data Engineer with strong hands-on expertise in Python, PySpark, and Databricks to develop and maintain scalable data processing solutions.

Key Responsibilities

• Develop and maintain data pipelines using Python and PySpark.
• Build and manage ETL/ELT workflows in Databricks.
• Perform data extraction, transformation, and loading.
• Work with large datasets using Apache Spark and SQL.
• Optimize data processing jobs for performance and scalability.
• Ensure data quality, reliability, and pipeline efficiency.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with PySpark and Apache Spark.
• Experience working with Databricks.
• Good knowledge of SQL and data engineering concepts.
• Experience developing and maintaining data pipelines.

Preferred Skills

• Delta Lake and Spark optimization.
• Azure or AWS cloud platforms.
• Experience with production data pipelines and troubleshooting.

Ideal Candidate

A Data Engineer with approximately 5 years of experience and practical expertise in Python, PySpark, Databricks, and SQL.