Data Engineering Manager - (Data Warehouse and Big Data Ecosystems) | Fortune 500 Multinational Leading Giant | 10-15 years (BB-A1696)

Found in: Neuvoo Premium IN


Candidate should have:
Strong sense of OWNERSHIP,
Bias for ACTION
Hire & Develop BEST PEOPLE
TECHNOLOGY evangelist
Leading the delivery of scalable data and analytics solutions
Implementing new and open source technologies
Design and build reusable components, frameworks and libraries at scale to support analytics data products
Leading and evolving data and analytics products.
Lead, Inspire, Coach and Grow team of engineers
Partner with product managers and analytics leaders to help prioritize work
Guide technology decisions that drive the companys standard methodologies.
Partner with other engineering teams across the company, to collaborate on specific technologies and build out various data sets together.
Leading discussions to scale out data architecture to process large data sets, and solve various data challenges.
Partner with enterprise platform and architecture, strategizing together to drive roadmaps and use standards and platforms at the company
You will be working with diverse team of smart, intelligent and creative people. We embrace and celebrate unique talent and experience of our teammates.
In this role you’ll be working closely with passionate and drive Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various groups including Demand and Supply Management, Supply Chain, Commercial Analytics, and Consumer Insights. You will be in contact with a wide range of great people. One of our maxims is “Win as a Team”. In all interactions, you will find success in teamwork, a positive attitude, and hard work
10+ years solution development and technology experience
5 years in a management or leadership role
Strong skills in team leadership and building positive relationships across Product and Engineering.
Experience working in Agile and Scrum development process
Experience working in a fast-paced, results-oriented environment
Practical approach to solving complex problems with ambiguous requirements
Experience in Amazon Web Services (AWS) or other cloud platform tools
Experience working with Data warehousing tools, including Dynamo DB, SQL, Amazon Redshift, and Snowflake
Experience architecting data product in Streaming, Serverless and Micro-Services based Architecture and platform.
Experience working with Data platforms, including EMR, Data Bricks etc
Experience working with distributed technology tools, including Spark, Presto, Scala, Python, Databricks, Airflow
Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.
Demonstrated experience in learning new technologies and skills
Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

calendar_today15 hours ago

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