1. Position Details
- Role Title: Senior Data Engineer
- Experience Required: 7+ Years
- Location: Hyderabad, India
- Employment Type: Full-Time
- Business Unit: Data Engineering / Analytics

2. Role Overview

We are seeking a Senior Data Engineer with strong expertise in PySpark and Oracle Database (Mandatory) to design and build scalable data processing solutions. The role involves working on enterprise-grade data platforms, transforming legacy systems, and delivering high-performance data pipelines in a fast-paced setting.

3. Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark
- Work with Oracle Database (SQL / PL-SQL) for data extraction, transformation, and performance optimization
- Convert legacy SQL/PL-SQL logic into modern data processing frameworks




- Build and manage ETL workflows ensuring high data quality and integrity
- Optimize Spark jobs and database queries for performance and efficiency
- Collaborate with architects, developers, and business teams to deliver solutions
- Ensure production-ready, maintainable, and scalable code
- Perform troubleshooting and performance tuning of data pipelines

4. Mandatory Requirements (Must Have)
- PySpark Strong hands-on development experience (Mandatory)
- Oracle Database – SQL, PL/SQL, and performance tuning (Mandatory)
- Strong proficiency in Python programming
- Experience in ETL development and data pipeline design
- Experience working with large-scale datasets / distributed systems

📌 Senior Data Engineer (Hyderabad)
🏢 Intellics Global Services Mumbai
📍 Hyderabad