ETL Developer – Hadoop & PySpark

Job Description

We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.

Key Responsibilities

Design, develop, and maintain ETL processes and data pipelines.

Work with Hadoop and PySpark to process and transform large volumes of data.

Develop and optimize Python scripts for data processing and automation.

Write complex SQL queries for data extraction, transformation, and validation.

Perform data cleansing, integration, transformation, and validation.

Work with data warehousing concepts and large-scale data processing systems.

Optimize ETL workflows for performance, scalability, and reliability.

Troubleshoot data pipeline failures and resolve data quality issues.

Collaborate with data engineers, analysts, and other technical teams.

Follow data governance, quality, and development best practices.

Required Skills

Strong experience in ETL Development – Mandatory

Hands-on experience with Hadoop – Mandatory

Strong experience in PySpark – Mandatory

Good programming skills in Python – Mandatory

Strong knowledge of SQL – Mandatory

Experience in Data Processing and Transformation – Mandatory

Knowledge of Data Warehousing – Mandatory

Experience with Big Data Technologies – Mandatory

Opportunity Details

Role

ETL Developer – Hadoop & PySpark

Experience

6–10 Years

Location

Bangalore

Mandatory Skills

ETL Development | Hadoop | PySpark | Python | SQL | Data Processing & Transformation | Data Warehousing | Big Data Technologies