Cloud Data Engineering (VP)

Experience - 15+ years to 19 years (Hands-on Role)

Reporting to - Director

Location - Pune

Skills - Java/Scala/Python GCP/AWS/Azure, Bigquery, Data Engineering, Apache spark or Beam

In this role, you will:

• Engineer the data transformations and analysis
• 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:

• 15+ 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 Beam, 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.