India onlyForbes Advisor is looking to hire a Data Engineer to perform and build core data products, promote data-driven culture, democratize insights through self-service, and establish a single source of truth in business and customer metrics.
Requirements
- 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.
- 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
