Data engineer

Role Overview

We are looking for a skilled Data Engineer with 4-7 years of experience to design and develop scalable ETL/ELT pipelines, process large datasets, and build reliable data solutions for analytics and reporting. This is a contract role for 3-6 months with potential for extension.

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 cross-functional teams including Data Analysts and BI developers.
• Ensure data quality, reliability, security, and governance across data platforms.
• Follow best practices for code quality, testing, documentation, version control, and CI/CD.

Requirements

• 4 - 7 years of professional experience in Data Engineering.
• Strong programming skills in Python.
• Strong hands-on experience with SQL, including joins, CTEs, window functions, and query optimization.
• 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.
• Ability to work in person.

Skills

• Python
• SQL
• PySpark
• AWS
• Azure

Compensation & Terms

• Pay: ₹120,000.00 per month (Fixed take home).
• Contract duration: 3-6 months (may be extended).
• Note: No PF or ESI provided as this is a contract position via a third-party payroll.