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.
Requirements:
- 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
Responsibility:
- 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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