Team Overview
We are seeking a highly experienced and motivated Lead Data Analyst with a robust background in SQL and Spark SQL, Unix shell scripting, supporting ETL setup, Big Data technologies, and AI to lead and mentor a team. You will be responsible for delivery of data. This role requires a deep understanding of data processing, data warehousing, and machine learning principles, along with hands-on experience in cloud environments like AWS and GCP usage. You will be a technical leader, driving best practices, providing mentorship, and ensuring the successful delivery of high-quality, scalable, and maintainable solutions. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
· Architect and oversee SQL/Spark SQL, Unix commands and data operations-based data analysis solutions.
· Lead ETL strategy and ensure robust data pipelines.
· Utilize Linux commands for system operations, troubleshooting, and deployment tasks.




· Work within cloud settings (AWS, GCP) to manage infrastructure, data workflows, and deployments.
· Partner with business leaders to define KPIs and analytical frameworks.
· Drive data governance and quality initiatives.
· Ensure data accuracy and consistency across systems.
· Lead and mentor a team of delivery.
· Analyze Java logs to identify and try to resolve performance bottlenecks and application issues.

Required Knowledge And Experiences
· 9+ years of experience in data analysis with deep SQL/Spark SQL and unix and expertise.
· Proven experience in ETL setup and data pipeline management.
· Robust stakeholder management and leadership skills.
· Experience in strategic analytics and decision support.
Bonus Points:
· Experience with specific industries (e.g., e-commerce, finance, healthcare).
· Contributions to open-source projects.
· Certifications in AWS or GCP.
· Bachelors /

📌 Sr Engineer Data Engineering Hyderabad (India)
🏢 TransUnion
📍 India