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.
- Robust 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.

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