Full Time Jobs at Hike

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Job Position Company Posted Location Salary Tags

Hike

Delhi, India

$72k - $80k

Hike

Delhi, India

$30k - $90k

Hike

Delhi, India

$27k - $45k

Hike

Delhi, India

Hike

Delhi, India

$72k - $80k

Hike

Delhi, India

$36k - $72k

Hike

Delhi, India

$81k - $84k

Hike

Delhi, India

$81k - $84k

Hike

India

$105k - $111k

Hike

Delhi, India

$98k - $108k

Hike

Delhi, India

$64k - $80k

Hike

Delhi, India

$30k - $80k

Hike

Delhi, India

$64k - $80k

Hike

Delhi, India

$64k - $80k

Hike

India

$30k - $80k

EM Data Platm Full Time Remote

Hike
$72k - $80k estimated

This job is closed

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

You will ๐Ÿ“ฒ

  • Provide leadership and direction for data engineering and design across multiple projects and functional areas.
  • Lead and Manage a small team of data engineers and data analysts.
  • 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.
  • Build and maintain ELT processes for various use cases for keeping the data platform up and running.
  • Build RESTful APIs for querying and returning data to appropriate applications.
  • Come up with and implement performance optimizations and best practices for scalable data models, pipelines and queries.
  • Create and own common Datasets used across the organization and make it easily accessible to the entire organization. Create a path towards data democratization.
  • Setup appropriate data visualization tools and optimize their performance.
  • 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