Role & responsibilities

- Develop and maintain data pipelines using Python, PySpark, and SQL.

- Work on data extraction, transformation, and loading (ETL) processes.

- Perform data processing and transformation using PySpark and Databricks.

- Write, execute, and optimize SQL queries.

- Assist in building and maintaining scalable data workflows.

- Perform data cleansing, validation, and troubleshooting.

- Work with large datasets and ensure data accuracy and quality.

- Collaborate with team members to support data engineering projects.

Preferred candidate profile

- 12 years of experience in Data Engineering.

- Hands-on knowledge of Python, PySpark, and SQL.

- Basic to working knowledge of Databricks and Apache Spark.

- Understanding of ETL/ELT concepts and data pipeline development.

- Knowledge of data transformation and data processing.

- Robust analytical and problem-solving skills.

- Good communication and willingness to learn new technologies.

📌 Data Engineer (Hyderabad)
🏢 Quadrant Technologies
📍 Hyderabad