Python, Pyspark, SQL

Cognizant · India · Refreshed 7 days ago

About this role

Experience: 5 to 13 years Location: Bangalore & Hyderabad Primary Skills: Python, Pyspark, SQL Job Description • Design, develop, and maintain scalable data pipelines and ETL processes. • Develop and optimize data processing solutions using Python and PySpark. • Write complex and high-performing SQL queries for data extraction, transformation, and analysis. • Work with large datasets and distributed computing frameworks to support data engineering initiatives. • Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions. • Troubleshoot and resolve performance, scalability, and data quality issues. • Contribute to data platform modernization and best practices. Skills • 5–13 years of experience in Data Engineering or related roles. • Strong hands-on experience in Python development. • Proven experience with PySpark for large-scale data processing. • Strong knowledge of SQL, including query optimization and performance tuning. • Exposure to or working knowledge of Scala. • Experience working with cloud-based or enterprise data platforms. • Strong analytical, problem-solving, and communication skills. Preferred Skills • Experience with data warehousing and ETL frameworks. • Exposure to cloud platforms such as Azure, AWS, or GCP.

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