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Senior Data Engineer

  • Engineering
  • Full-time
  • IN
  • Remote friendly

2022-05-24 11:22:18 UTC

About the company

We are remote first with more than 90 product engineers all over India. Our leadership team in India / Berlin / Silicon Valley and comes from the largest technology companies. 

Our growth mindset permeates not only our products but also how we hire and work together. We all have a curiosity and desire to change the world with our products. 

If you're interested please fill out our questionnaire and a member of our team will contact you

Primary Responsibility

As a Data Engineer, you are responsible for the development, performance, quality, and scaling of our data pipelines, with a special focus on data quality. You will work independently and also will be responsible for making technical decisions within a team.

Important Aspects Of The Job Include:

  • Rapidly developing next-generation scalable, flexible, and high-performance data pipelines;

  • Solving issues with data and data pipelines, prioritizing based on customer impact, and building solutions that prevent them from happening again (root cause);

  • End-to-end ownership of data quality in our core datasets and data pipelines;

  • Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality;

  • Providing tools that enhance Data Quality

  • Developing integrations between multiple applications and services, both on premise and in the cloud;

  • Contributing to self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise;

  • Building effective monitoring of data, and jumping in to handle outages.

    Job Requirement

3+ Year experience in Programming experience with at least one modern language such as  Python, or Golang 
Extensive experience working with AWS with a strong understanding of Athena, DynamoDB, Lambda, S3,  etc

3+ years of experience as a Data Engineer or in a similar role

Experience with data modeling, data warehousing, and building ETL 

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field