Assistant Manager

We are seeking a Data Engineer with 5+ years of experience in building and maintaining data pipelines using PySpark, SQL, and Python. The candidate should have a solid understanding of Bigdata tools like Hadoop, Hive, Oozie and have basic knowledge of cloud environments (preferably AWS). The role requires working closely with teams to support data processing and analytics needs.

Key Responsibilities

• Develop and maintain data pipelines using PySpark and Python, Hive, Oozie

• Write efficient SQL queries for data extraction, transformation, and validation

• Assist in integrating data from multiple sources and ensuring data accuracy

• Support debugging, monitoring, and optimization of data pipelines

• Collaborate with team members to understand data requirements and deliver solutions

• Follow best practices for data engineering and documentation

Required Skills (Primary)

• 5+ years of hands-on experience in PySpark, SQL, and Python

• 5+ years of hands-on experience in Big Data Tools like Hive ,Oozie

• Working knowledge of cloud environments (preferably AWS)

• Understanding of data processing and ETL concepts

Secondary Skills

• Basic experience with Databricks