Glean Hiring Drive 2024 For Data Engineer | Location Bangalore

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Glean Hiring Drive 2024: Glean Hiring Drive 2024 for its Data Engineer. Glean Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: Glean

Role: Data Engineer

Location: Bangalore

Experience: 0 – 1 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Glean Hiring Drive 2024

Job Description:

  • Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups.
  • Our data engineering group will be based in our Bangalore, India office.
  • We are hiring our first data engineer.


  • You have 8+ yrs of work experience in data engineering /software engineering as a bachelor degree holder. This requirement is 7+ for masters degree holders and 5+ for PhD Degree holders.
  • You have 1+ year of tech lead management experience and have mentored several data engineers before.
  • You are so proficient in SQL that you re able to up-level other SQL users around you.
  • You are proficient in Python
  • You have experience with BigQuery and dbt
  • You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
  • You have experience working with a large array of cross-functional partners ranging from product and engineering/research to go-to-market and finance
  • You have experience working with stakeholders and peers in different time zones
  • You have experience with Salesforce, Marketo, and Google Analytics.
  • You have experience in distributed data processing storage, eg HDFS
  • You have experience in data privacy, eg data access governance.
  • You have experience forming the data engineering charter in a startup


  • Start as a fully hands-on individual contributor, and transform into a mostly hands-on tech lead management role as you build Glean s data engineering functionality.
  • Help improve the availability of high-value upstream raw data by
  • channeling inputs from data science and business intelligence to identify biggest gaps in data foundations
  • partnering with Product Engineering teams as they craft product logging initiatives processes
  • partnering with Go-to-Market Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software
  • Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs.
  • Ensure and maintain the quality and availability of Glean s data within reasonable SLAs
  • Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery and Metabase
  • Partner with Business Intelligence to improve the reliability, scalability and usability of our business intelligence visualization tools like Metabase for Data, product, engineering and operations teams.
  • Implement and disseminate developer-friendly best practices for our data stack to ensure that data, operations, and engineering can efficiently write source-controlled and adhoc SQL code and other ETL jobs.

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