Data Engineering Manager - (Data Warehouse and Big Data Ecosystems) | Fortune 500 Client | 10-15 years
Talent500
Electronic City, Bangalore, Karnataka
6d ago

Candidate should have :

Strong sense of OWNERSHIP,

INNOVATIVE mindset

Hire & Develop BEST PEOPLE

TECHNOLOGY evangelist

COURAGEOUS

WHAT YOU WILL WORK ON

  • 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
  • WHO YOU WILL WORK WITH

  • 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

    WHAT YOU BRING

  • 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
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