Data Engineer - L1

Responsibilities: 

• 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

Perks: 

● 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