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Team Overview
An M02 is responsible for managing a development team, ensuring delivery of software solutions, and aligning execution with business and product goals.
The role balances:
* People management
* Technical oversight
* Delivery accountability
Typically owns a single team of engineers 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
Team Leadership & Delivery
Lead a team of software and data engineers (typically 5–10 members).
Ensure timely and high-quality delivery of platform capabilities, data processing solutions, and feature enhancements.
Drive execution of large-scale distributed processing initiatives and data platform modernization efforts.
Foster a culture of engineering excellence, innovation, and accountability.
Technical Oversight
Provide technical leadership for large-scale distributed data processing systems built on Apache Spark.




Guide architecture, design, and implementation decisions for scalable, fault-tolerant, and high-performance data processing workloads.
Establish best practices for Spark application development, optimization, observability, and operational excellence.
Ensure adherence to coding standards, performance requirements, scalability guidelines, and security controls.
Lead troubleshooting and resolution of complex production issues involving Spark jobs, data pipelines, cluster performance, and resource management.
Drive optimization of Spark workloads through partitioning strategies, query tuning, caching, memory management, and productive resource utilization.
Data Platform & Spark Engineering
Design and oversee development of batch and real-time data processing pipelines using Apache Spark.
Collaborate on architecture involving Spark, Iceberg, Hive, Hadoop, AWS EMR, AWS Glue, GCP Dataproc, BigQuery, and other mod

📌 Sr. Manager (Hyderabad)
🏢 TransUnion
📍 Hyderabad