
Data Engineer
5 days ago
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 :
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.
(ref:hirist.tech)
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