Data Engineer

Key Skills: SCALA, Apache, Java, GCP, Data Engineer, Apache Spark, Google Cloud Applications, Kafka

Roles and Responsibilities:

• 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.

Skills Required:

• 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.

Education:  Bachelor's Degree in related field