In this role, you will :

- Engineer the data transformations and analysis for the Cash Equities Trading platform.

- Technology SME on the real-time stream processing paradigm.

- Bring your experience in Low latency, High through-put, auto scaling platform design and implementation.

- Implementing an end-to-end platform service, assessing the operations and non-functional needs clearly.

- Mentor and Coach the engineering and SME talent to realize their potential and build a high-performance team.

- Manage complex end to end functional transformation module from planning estimations to execution.

- Improve the platform standards by bringing in new ideas and solutions on the table.

Qualifications :

To be successful in this role, you should meet the following requirements :

- 12+ years of experience in data engineering technology and tools.

- Must have experience with Java / Scala based implementations for enterprise-wide platforms.

- Experience with Apache Beam, Google Dataflow, Apache Kafka for real-time steam processing technology stack.

- Complex state-full processing of events with partitioning for higher throughputs.

- Have dealt with fine-tuning the through-puts and improving the performance aspects on data pipelines.

- Experience with analytical data store optimizations, querying and managing them.

- Experience with alternate data engineering tools (Apache Flink, Apache Spark etc).

- Reason and have an ability to convince the stake holders and wider technology team about your decisions.

- Set highest standards of integrity and ethics and lead with examples on technology implementations.