Forbes

Data Engineer – L1

Forbes

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

Visit company website
✨ AI Apply
Apply

Job Level

Junior

Tech Stack

AirflowCloudGoogle Cloud PlatformPythonSpark

About the role

  • Assemble large, complex data that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc.
  • Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services.
  • Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs.

Requirements

  • Bachelor’s degree with Minimum 1.5+ years of experience working in globally distributed teams successfully
  • Must have experience working on Python and data handling frameworks(spark, beam, etc)
  • Apply experience with cloud storage and computing for data pipelines in GCP (GCS, BQ, composer, etc)
  • Write pipelines in Airflow to orchestrate data pipelines
  • Experience handling data from 3rd party providers is a great plus: Google Analytics, Google Ads etc.
  • Experience in manipulating, processing and extracting value from large disconnected datasets.
  • Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations, …)
  • Basic knowledge on dbt is a good to have
  • Knowledge on data privacy and security
  • Excellent verbal and written communication skills
Benefits
  • Monthly long weekends — every third Friday off
  • Wellness reimbursement to support your health and balance
  • Paid parental leave
  • Remote-first with flexibility and trust
  • Work with a world-class data and marketing team inside a globally recognized brand

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythondata handling frameworksSparkBeamGCPAirflowdata manipulationdata processingdata extractiondbt
Soft skills
communicationcollaborationproblem-solvingstakeholder management