HomeUdemy | Jobs | Enterprise Data Engineer,Pan India | BigDataKB.com | 08-02-22

Udemy | Jobs | Enterprise Data Engineer,Pan India | BigDataKB.com | 08-02-22

Job Location: remote

A key data team responsibility is to ensure proper data governance at Udemy. As an Enterprise Data Engineer, you will lead projects and oversee strategies that enhance the availability and usability of our Enterprise Data Warehouse. You will ensure complete, accurate, and SOX compliant data is available for the Finance departments to fulfill all the revenue reporting requirements for a public company.
You will work with business partners and data analysts within the team to enable internal stakeholders to work more efficiently and effectively with the data. Your main responsibilities will be to build, improve, maintain, and document quality data pipelines to be consumed by analysts and end-users for reporting, descriptive, and predictive analytics. You will be using technologies and tools such as Snowflake, S3, Hive, Airflow and others.

Heres what youll be doing:

  • Expand data pipelines, enhance infrastructure, improve reliability, and strengthen database performance
  • Contribute to the ongoing development of the data warehouse ecosystem
  • Become the expert on all aspects of the Finance teams data reporting and analytics infrastructure
  • Develop and maintain data definitions for internally available data sources
  • Work in agile sprints, iterate on solutions/ approaches, communicate your plans and align with stakeholder and broader org goals with respect to delivering data driven tools and systems

We are excited to talk to you because you have:

  • 5+ years of experience working in business intelligence, data infrastructure or equivalent
  • Solid software engineering skills and proficiency with object-oriented or functional programming languages, especially Python
  • Excellent SQL skills with experience building tables in a production environment
  • Knowledge in ETL performance tuning / query optimization
  • Experience with containerization and orchestration Docker, Kubernetes, Airflow, Data Ingestion and Processing (batch / streaming), Design and maintain Data Pipelines, data Modeling and visualizations
  • Self-driven, highly motivated and able to learn quickly
  • Strong communication skills to partner with and understand the needs of every data-consuming team in the company
  • Bonus points for experience implementing a BI tool like Looker or Periscope

Apply Here

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