- Databricks Fundamentals

- Python Programming

- SQL

- Apache Spark

- PySpark

- Data Engineering

- ETL/ELT

- Data Processing and Transformation

- Data Pipelines

- Problem-Solving

Key Responsibilities:

- Assist in developing and maintaining data pipelines using Databricks.

- Work with Python, SQL, and PySpark for data processing and transformation.

- Support data ingestion, cleansing, validation, and integration activities.

- Learn and work with Apache Spark concepts for distributed data processing.

- Assist in implementing ETL/ELT workflows to process structured and unstructured data.

- Work with Delta Lake and understand its role in reliable data storage and processing.

- Perform data quality checks and troubleshoot basic data processing issues.





- Support the development, testing, and documentation of data engineering solutions.

- Collaborate with team members to optimize data processing workflows.

- Learn cloud-based data engineering concepts and follow established coding standards and best practices.

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.

📌 Data Engineer - Intern (Chennai)
🏢 Bahwan Cybertek
📍 Chennai