Data Engineer role for Asia Pacific Region is based out of Bangalore. We are looking for an expert Data Engineer (Manager level) with deep expertise in big data/data warehousing and can build large-scale data processing systems by using the latest database and data processing technologies. This is a Pan-regional position and plays a critical role in enabling the data platforms through which Data Scientists, Analysts, and BI Users drive solutions for our Visa clients.

The Data Engineering Manager takes responsibility for building and running data pipelines, designing our local data warehouse, data marts and data frameworks, and catering for different data presentation techniques. We are looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver.

He/she will bring in deep expertise in data pipeline design and development with a strong background in developing and enhancing data Pipelines at scale to unlock business value.

Principal Responsibilities:

Create and maintain optimal data pipelines, data marts and architecture(s), based on our Global Technology Stack
Collaborate with the global data engineering team to adopt global engineering standards in AP region.
Develop custom-built packages to support the needs of Data Scientists across the region
Provide technical and business support for development of new platforms, tools for data science using both on-prem and cloud technologies.
Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs
Partner with Technology on quarterly planning cycle and support management with relevant metrics to evaluate performance, stability, and reliability of various tools.
Continuous focus on improving Infrastructure efficiency by analyzing logs of queries, tuning settings, translating queries if required.
Review scripts for best practices, educating user base and building training assets for beginner and intermediate users.
Increase consistency of tool usage by developing guidance for specific data science applications and sharing with user community

Desired Attributes:

Self-Driven and Proactive: A highly motivated individual who takes initiative to identify potential issues and implement solutions without direct supervision.
Dedicated: Committed to ensuring the highest standards of quality and reliability for our data operations.
Proactive Communicator: Excellent verbal and written communication skills, with the ability to provide clear and timely updates to stakeholders on pipeline status and incidents.
Collaborative Spirit: A team player who can work effectively with data engineers, analysts, and other teams to achieve common goals.
Detail-Oriented: A keen eye for detail to ensure data accuracy and process integrity.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.