Responsibilities:

• Manage and mentor a team of experienced data engineers to work in a collaborative, fast paced onsite-offshore model to meet production data delivery or products for client consumption
• Meet all operational SLAs to deliver high quality data in a timely and consistent manner
• Manage existing data sources and production processes in the cloud for quality
• Monitor and maintain the health and cost of production environment
• Cultivate DevOps culture by encouraging cross training and providing continuous feedback to engineers
• Onboard new Financial Institution and product portfolio to the study
• Strong focus on Operational excellence driving collaboration between business units
• Leverage latest cloud technologies to find and bring efficiency in existing products and processes
• Support internal and external data users by providing technical and functional guidance
• Communicate and drive conversations with Senior Leadership to drive growth
• Generate and manage business KPI dashboards
• Develop and Maintain a critical thinking environment in the team

Qualifications

• 5-7 years of experience.

• Bachelor s or Master s degree in Engineering (all disciplines)

• 3-5 years of experience in ingestion of client data and turning it into insightful analytics and reports

• Demonstrated strength in SQL, Oracle, Postgres, Python, VBA, redshift

• Experience with EMR, Hadoop, Hive, Spark or other big data technologies

• Familiarity with concepts of data lake, cloud architecture, big data analytics (Kinesis, Athena)

• Strong and effective analytical, communication, creative and interpersonal skills

• Demonstrated problem solving and root cause analysis skills

• Ability to work creatively and analytically in a problem-solving environment

• Eagerness to contribute in a team-oriented environment

• Optional: Background or work experience in Retail Banking Industry is strongly preferred