Role & Responsibilities

- Strong hands-on experience in Python and PySpark.

- Develop and maintain scalable data processing and transformation pipelines.

- Write efficient Python/PySpark code for large-scale data processing.

- Work with Apache Spark for data transformation, cleansing, and integration.

- Troubleshoot performance issues and optimize Spark jobs.

- Collaborate with data engineers, architects, and business teams to deliver data solutions.

Preferred Candidate Profile

- Strong experience in Python and PySpark.

- Good understanding of Apache Spark, DataFrames, SQL, and ETL/ELT processes.

- Experience working with large datasets and distributed data processing.

- Strong problem-solving and analytical skills.

- Good understanding of data engineering concepts and best practices.

- Experience with cloud data platforms such as Azure/AWS/GCP is preferred.

- Robust communication and stakeholder-management skills.

📌 Python, Pyspark (Hyderabad)
🏢 Quadrant Technologies
📍 Hyderabad