Data Engineer

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 and AWS services.

• Create data for analytics and CRM team members that assist them in building and optimizing our product.

• 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 4+ years of experience working in globally distributed teams successfully

• Must have experience working on Spark, Kafka, and Python

• 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: Google Analytics, Google Ads etc.

• Strong analytic skills related to working with unstructured datasets.

• 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

• Experience with data governance, privacy and security

• Basic ML exposure & know-how

• supporting teams as they migrate through guidelines, support and adherence to good practices.

• Dynamically adapt to fluid situations to deliver the intended results

• Strong interpersonal and conflict resolution skills

• Ability to form productive relationships quickly and create the spheres of influence required for transformational changes

• Excellent verbal and written communication skills

Perks:

• Day off on the 3rd Friday of every month (one long weekend each month)

• Monthly Wellness Reimbursement Program to promote health well-being

• Paid paternity and maternity leaves