Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that
provides journalist- and expert-written insights, news and reviews on all things personal finance,
health, business, and everyday life decisions. We do this by providing consumers with the knowledge
and research they need to make informed decisions they can feel confident in, so they can get back to
doing the things they care about most.
Forbes 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
If you're looking for challenges and opportunities similar to those of a startup, with the benefits of a
seasoned and successful company, then read on:
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 1.5 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,
Dataproc)
● Write pipelines in Airflow to orchestrate data pipelines
● Experience in DBT
● 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, ...)
● 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.
● Independently fulfill incoming tracking requests as assigned by your PO.
● Support the team championing web analytics and data literacy within the organization
and work to enhance our capabilities through training and support as needed.
● 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
Bachelor’s degree with Minimum 1.5 years of experience working in globally distributed
teams successfully
