Data Engineer

About this job

About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 18 of the Fortune 50 companies, 7 of the 10 top US banks, 9 of the 10 technology companies, and numerous innovators across the healthcare ecosystem.

Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487.6M in Q4 FY26 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29,500+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position

We are seeking an experienced Data Engineer to join our Data Engineering team and drive the development of scalable, high-performance data solutions. The ideal candidate will possess strong expertise in Oracle, SQL, Python, PySpark, and Apache Spark, along with extensive experience in enterprise data platforms, data integration, and modernization initiatives. In this role, you will be responsible for designing and optimizing data pipelines, enabling large-scale data processing, and supporting business-critical analytics and reporting solutions.

• Role: Data Engineer
• Location: Hyderabad
• Experience: 5 to 8 Years
• Job Type: Full-Time Employment

What You'll Do

• Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and Apache Spark.
• Build high-performance data ingestion, transformation, and processing frameworks for enterprise data platforms.
• Optimize Oracle databases, SQL queries, Spark jobs, and large-scale data processing workloads.
• Develop and support real-time and batch data integration solutions using Oracle GoldenGate, CDC, Kafka, and related technologies.
• Implement data migration and modernization strategies across legacy and cloud-based platforms.
• Design and maintain robust data models, data warehouses, and analytical datasets.
• Monitor, troubleshoot, and tune data pipelines to ensure performance, reliability, and scalability.
• Implement automation, monitoring, and operational best practices for data platforms.
• Collaborate with business analysts, solution architects, and stakeholders to translate business requirements into technical solutions.
• Ensure data quality, governance, security, and compliance across enterprise data environments.
• Participate in code reviews and contribute to engineering standards and best practices.
• Provide technical leadership and mentorship to junior engineers and team members.
• Support cloud-based data engineering initiatives and enterprise modernization programs.

Expertise You'll Bring

• 5-8 years of experience in Data Engineering, Big Data, and Data Platform development.
• Strong hands-on expertise in Oracle databases and Apache Spark ecosystems.
• Advanced programming skills in Python, PySpark, and/or Scala.
• Strong proficiency in SQL, query optimization, and database performance tuning.
• Experience designing and implementing ETL/ELT pipelines for enterprise environments.
• Strong understanding of data warehousing concepts, data modeling techniques, and dimensional modeling.
• Experience working with large-scale distributed data processing platforms.
• Hands-on…