**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.



+ Solid 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. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

📌 Python, Pyspark, SQL (Hyderabad)
🏢 Cognizant
📍 Hyderabad