Google Cloud Data Engineering Lead

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.

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.