Lead Data (Python) Engineer (Chapter Lead)
Streamhub
Bangalore, India
3d ago

Streamhub is a data analytics and activation SaaS platform, which comprises components related to audience measurement, segmentation and targeting.

Our purpose is to understand how video shapes our everyday life, and our mission to make people's everyday better by being the most actionable data platform for the video business.

Working at Streamhub will bring unparalleled access to cutting-edge challenges in the complex adtech / media industry, working within an international and rewarding entrepreneurial culture.

We are at an exciting growth phase, making a number of key hires who will form the founding blocks of our teams in India and Japan!

The Role

This role will give you a challenging opportunity to contribute to an innovative data product as Lead Data Integration Engineer of our core engineering team.

You will be joining our highly-productive engineering team, thriving work culture through individual's growth, well-being, strong ethics, and entrepreneurial approach.

Your day-to-day work would comprise designing and building our reporting and activation platform, building versatile data pipelines that deal with volume, and diversity of data, and work on our service layer which interacts with the core data platform.

  • This is a Chapter Lead position, you will be a part of Streamhub's engineering leadership. As a Chapter Lead, you would be involved in technology decision-making, responsible for quality, design, setting coding standards, refine practices and bring innovation to your Chapter;
  • coach people and develop skills in your Chapter.

    You have

  • Solid knowledge and experience in Python .
  • Experience in building data pipelines, and orchestration with Airflow .
  • Understanding of containerized applications (like Docker) and container services (like Kubernetes or ECS).
  • Some experience with document-based databases or search engines , like Elasticsearch or MongoDB.
  • Experience with AWS will be a great plus!
  • Exposure or interest in distributed computing technologies like Spark, streaming and related data technologies; that you will be exposed.
  • The Package

  • Immense learning, exposure to niche data technologies, and handling TBs of data.
  • Work with an open, diverse, and autonomous team. Entrepreneurial team culture.
  • Flexible timing - we generally believe in measuring output than input.
  • If you've read all the way to the bottom of this description, thank you for your interest in Streamhub!

    We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.

    We are proud to be an equal opportunity workplace.

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