| Company | TransUnion |
| Job Title | Sr Engineer – Data Engineering |
| Designation | Senior Engineer – Data Engineering |
| Location | Hyderabad |
| Job Requisition ID | 19039867 |
| Employment Type | Full-Time |
| Work Model | Hybrid (Minimum 2 days/week in office) |
| Experience Required | 9+ Years |
| Education | Bachelor’s or Master’s Degree in Computer Science or a related field |
| Domain | Data Engineering / Big Data / Cloud Analytics |
| Primary Role | Design, build, and manage large-scale data pipelines, ETL processes, and analytics solutions while leading technical delivery and mentoring team members. |
| Key Responsibilities | • Architect SQL and Spark SQL-based data solutions.• Design and manage ETL pipelines.• Perform Unix/Linux system operations and troubleshooting.• Manage data workflows in AWS and GCP.• Define KPIs and analytical frameworks with business teams.• Drive data governance and data quality initiatives.• Ensure data consistency across enterprise systems.• Lead technical delivery and mentor engineering teams.• Analyze Java logs for performance tuning and issue resolution. |
| Core Technical Skills | SQL, Spark SQL, Data Engineering, ETL Development, Data Pipeline Design, Data Warehousing |
| Big Data Technologies | Apache Spark, Big Data Processing, Distributed Data Systems |
| Cloud Platforms | Amazon Web Services (AWS), Google Cloud Platform (GCP) |
| Operating Systems & Scripting | Unix, Linux, Shell Scripting |
| Programming & Analysis | SQL, Spark SQL, Java Log Analysis |
| Data Management | ETL, Data Integration, Data Governance, Data Quality, Data Validation |
| Analytics Skills | KPI Development, Business Analytics, Strategic Analytics, Decision Support |
| Leadership Skills | Technical Leadership, Team Mentoring, Stakeholder Management, Delivery Management |
| Preferred Qualifications | AWS/GCP Certifications, Open Source Contributions, Experience in Finance, Healthcare, or E-commerce domains |
| Soft Skills | Communication, Problem Solving, Analytical Thinking, Collaboration, Leadership, Decision Making |
| Best Suitable Profiles | Senior Data Engineer, Lead Data Engineer, Big Data Engineer, Data Platform Engineer, ETL Lead, Data Analytics Engineer, Spark Engineer |
| Expected Salary (Hyderabad) | ₹25–40 LPA (Typical); ₹40–55 LPA for candidates with strong Spark, ETL, cloud, and leadership expertise |
| Interview Focus Areas | SQL, Spark SQL, ETL Design, Data Pipelines, Apache Spark, Unix/Linux, Shell Scripting, AWS, GCP, Data Warehousing, Data Governance, Java Log Analysis, Performance Tuning, Stakeholder Management, Team Leadership |
| Overall Suitability | 9.5/10 – Excellent opportunity for professionals with 9+ years of experience in Data Engineering, Spark SQL, ETL, AWS/GCP, Big Data, and technical leadership, especially those experienced in delivering enterprise-scale data platforms. |
