Data Engineer

Role & 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.

Preferred candidate profile

• Bachelors degree with Minimum 5+ 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 and benefits

• 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