Director of Data Engineering - HUB-00103

Key Responsibilities Lead multiple teams responsible for data and AI related initiatives with company-wide impacts and outcomes, in partnership with key stakeholders Manage and provide strategic direction the data engineering team, fostering high performance and professional development for the team and associated product area, ensuring alignment with organizational and portfolio goals Design, build, and maintain scalable and efficient data pipelines and architectures while ensuring data quality, accuracy, and governance across the organization Coach and develop people leaders on your team who are themselves responsible for their teams and outcomes Conduct 1:1s with their direct reports, and skip-level discussions for team members to assess team health, promote cohesion and camaraderie, and identify and solve issues across the organization Ability to triage and manage complex, high-pressure production issues Champion data-driven decision-making throughout the organization for industry trends and advancements in data engineering and Google Cloud Platform services Demonstrate a test/learn/iterate mindset, emphasizing progress over perfection Can connect the larger organization strategic goals directly to their team's tactical goals and can effectively communicate that to their teams Basic Requirements 11 years of relevant experience with a bachelors degree OR equivalent relevant professional experience. Including: 6 years of experience managing and leading engineering teams 1 years of managing managers 3 years of practitioner level knowledge of large-scale data warehouse and BI tools migration to Google Cloud data lake 3 years of experience with cloud computing services (e.g., AWS, Google Cloud). Expertise in data architecture, database design, data quality standards/implementation and data modeling. Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization Proven experience in managing conflicts and people leadership skills Experience in implementing and managing data security measures. Ability to showcase acquired business acumen Knowledge of data privacy laws and regulations, such as CCPA, HIPAA or others Preferred Requirements Experience working in an omni-channel retail environment Staying updated with the latest trends and technologies in data engineering and analytics. 4 years of experience with data engineering and visualization that includes SQL, Airflow, DBT, PowerBI, Tableau and Looker 4 years of experience in creating data pipelines and BI tool integration using cloud native technologies Familiarity with programming languages used in data engineering, such as Python, Scala, or Java. About Best Buy BBY India is a service provider to Best Buy and as part of the team that will work on Best Buy projects and initiatives, youll help us fulfill Best Buys purpose to enrich lives through technology. You will bring that to life every day by humanizing and personalizing tech solutions for every stage of life in Best Buy stores, online and in Best Buy customers homes. Best Buy is THE place where techies can make technology more meaningful in the lives of millions of people, to enable our purpose of enriching lives through technology. Our unique culture unleashes the power of our people and provides fast-moving, collaborative, and inclusive experiences that empower employees of all backgrounds to make a difference, learn and grow every day. Best Buys culture is built on deeply supporting and valuing our amazing employees and other team members who make it all possible. Best Buy is committed to being a great place to work, where you can unlock unique career possibilities. Above all, Best Buy aims to provide a place where people can bring their full, authentic selves to work now and into the future. Tomorrow works here.

Location: Bangalore, IN

Posted Date: 9/2/2024