Job Description: Data Engineer Position: Data Engineer Experience: 4 - 7 Years Joining Preference: Immediate / Early Joiners Preferred About the Role We are looking for a skilled Data Engineer with strong hands-on experience in Python, SQL, PySpark, and cloud data platforms (AWS/Azure). The ideal candidate will have experience designing and developing scalable ETL/ELT pipelines, processing large datasets, and building reliable data solutions for analytics and reporting. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT data pipelines. • Develop data processing solutions using Python and PySpark. • Write and optimize complex SQL queries, stored procedures, and database objects. • Build and maintain cloud-based data pipelines using AWS or Azure data services. • Ingest, transform, and integrate structured and semi-structured data from multiple data sources. • Perform data transformation, cleansing, validation, and integration. • Build and maintain efficient data models for analytics and reporting. • Monitor data pipelines and troubleshoot performance, reliability,



and data quality issues. • Optimize data processing jobs for scalability and performance. • Collaborate with Data Analysts, BI developers, Software Engineers, and other cross- functional teams. • Ensure data quality, reliability, security, and governance across data platforms. • Follow best practices for code quality, testing, documentation, version control, and CI/CD. Required Skills • Strong programming skills in Python. • Robust hands-on experience with SQL, including joins, CTEs, window functions, query optimization, and performance tuning. • Hands-on experience with PySpark / Apache Spark for large-scale data processing. • Strong understanding of ETL/ELT concepts and data integration. • Experience working with cloud platforms such as AWS or Azure.

Pay: ₹120,000.00 per month

Application Question(s):
- How soon you can join
- This is a contract role for 3-6 months may get extended dep

📌 Data engineer (Pune)
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