Staff Data Engineer (Full Time, Remote)
Delhi, India - Remote
Applications have closed
At Hike, weโre building the Rush Gaming Universe ๐ฎ ๐ฒ ๐ฐ
To know more, check out work.hike.in.
Skills & experience we're looking for ๐จโ๐ป
- 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 ๐ฒ
- 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.
๐ฐ 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 ๐ฐ
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
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