Staff Data Engineer (Full Time, Remote)

Delhi, India - Remote

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Hike

Hike team is building the Rush Gaming Universe.

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At Hike, weโ€™re building the Rush Gaming Universe ๐ŸŽฎ ๐Ÿ“ฒ ๐Ÿ’ฐ

To know more, check out work.hike.in.

Skills & experience we're looking for ๐Ÿ‘จโ€๐Ÿ’ป

  • 6- 8 years of relevant experience | Top Talent in every role
  • Have prior experience of building from ground up or significantly contributing to a large scale data platform | Top Talent in every role
  • Should have strong hands-on experience of the Hadoop ecosystem and/or BigQuery, Kafka, Spark and other related technologies | Be curious & keep learning
  • Should be able to model and design modern data structures, SQL/NoSQL databases, Data Lakes, Cloud Data Warehouse | Think Deeply
  • Have prior experience in building transactional database structures | Top Talent in every role
  • Should have experience in data modeling and developing SQL database solutions | Top Talent in every role
  • Should have a strong software engineer experience and should be able to follow standard software development lifecycles | Top Talent in every role
  • Proficient in working with Linux or other Posix operating systems, shell scripting, and networking technologies | Think Deeply
  • Should have strong interpersonal skills and must be adept at communication and cross team collaboration | Pro sports team

You will ๐Ÿ“ฒ

  • Leadership โ†’ Provide leadership and direction for data engineering and design across multiple projects and functional areas.
  • Leadership โ†’ Lead and Manage a small team of data engineers and data analysts.
  • Planning โ†’ Create robust and automated pipelines to ingest and process structured and unstructured data from different sources into a data platform using available batch and streaming solutions.
  • Operations โ†’ Build and maintain ELT processes for various use cases for keeping the data platform up and running.
  • Operations โ†’ Build RESTful APIs for querying and returning data to appropriate applications.
  • Planning โ†’ Come up with and implement performance optimizations and best practices for scalable data models, pipelines and queries.
  • Planning โ†’ Create and own common Datasets used across the organization and make it easily accessible to the entire organization. Create a path towards data democratization.
  • Operations โ†’ Setup appropriate data visualization tools and optimize their performance.
  • Collaboration โ†’ Work closely with BI & DS teams to cater to their data requirements.

๐Ÿ’ฐ Benefits โ†’ We have tremendous benefits & perks. Check out work.hike.in to know more

* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐Ÿ’ฐ

Tags: APIs BigQuery Data visualization Data warehouse ELT Engineering Hadoop Kafka Linux NoSQL Pipelines Shell scripting Spark SQL Streaming Unstructured data

Perks/benefits: Career development

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  16  2  0

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