Forbes Advisor- Data Engineer L1

Posted Yesterday
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Hiring Remotely in India
Remote
Junior
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Build and maintain scalable ETL pipelines on GCP, transform large/disconnected datasets, automate and optimize data delivery, support stakeholders, and apply data engineering best practices including testing and release management.
Summary Generated by Built In

Role: Data Engineer - L1

YOE: 2+ years

Location: Remote
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

About The Company

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.

Website: https://www.forbes.com/advisor...


Skills Required

  • Bachelor's degree with minimum ~1.5+ years experience working in globally distributed teams
  • Experience with Python
  • Experience with data processing frameworks (Apache Spark, Apache Beam, etc.)
  • Experience with GCP data services (GCS, BigQuery, Cloud Composer)
  • Write and maintain pipelines in Airflow
  • Experience manipulating, processing and extracting value from large disconnected datasets
  • Experience with software engineering practices for data engineering (release management, testing) and tooling (dbt, Great Expectations, etc.)
  • Knowledge of data privacy and security
  • Excellent verbal and written communication skills
  • Experience handling data from 3rd party providers (Google Analytics, Google Ads)
  • Basic knowledge of dbt
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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