Job Details

• Ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management
• To collaborate with business unit leadership as well as individual members of the team with strong empathy, and ability to creatively solve business problems.
• Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities
• Train and make teams productive in the new age tools and processes that will impact the business directly.
• Solutioning the business needs / requirements, participate/ drive discussions with business, for the speedy and agile documentation of the requirements and solution which can be taken by the delivery team

• 15+ years of experience in the field of Data Engineering
• Hands-on experience in designing and managing data lakes, data warehouses and downstream marts
• Solid architecting, development & deployment experience in data engineering, DevOps, scalable machine learning model & API development
• Identifying, guiding and implementing the usage of the right set of data platforms, tools and solutions across data architecture, warehousing teams that will help scale up the business
• Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc)
• Exceptional analytical, quantitative, problem-solving, and critical thinking

Reference ID - GH/EPC/Head - Data Engineer