Design and develop highly scalable, reliable data engineering pipelines to process very large volumes of data across disparate data sources effectively addressing functional and non-functional concerns while adhering to well established engineering concepts
Stay ahead of the technology by researching and learning new technologies, developing innovative solutions for complex problems in data engineering to serve AI and Data Science needs of the future Design and develop data quality system to identify data issues proactively, rather than reactively
Develop and promote best practices, reference architecture, engineering standards in data engineering Collaborate with Enterprise Architecture teams in setting technical direction across data engineering platform and drive technology lifecycle management and communication of standards/Outcomes to the engineering team Support the Data Engg. needs of multiple teams, systems and products.
You will also be responsible for integrating them with the architecture used across the enterprise.
Work with engineering leaders to build a high performing engineering team and provide technical leadership, coaching, motivation and participate in the selection of technical talent