Senior Data Engineer

buscojobs Brasil; Rio de Janeiro; Teletrabalho; BRL 327.000 - 546.000; Tempo integral

Resumo da oferta

A remote-first technology company is seeking experienced Data Engineers to develop robust data products that support analytics and decision-making. You will build and manage data workflows using tools like Fivetran, BigQuery, and Looker. The ideal candidate has strong Python proficiency and experience in modern cloud environments. Competitive pay in USD and a supportive culture focused on growth and social good are offered.

Serviços

Competitive Pay in USD

Fully Remote

Better Me Fund

Qualificações

• Proven experience building and managing data products in cloud environments.
• Strong proficiency in Python for data ingestion and workflows.
• Hands-on expertise with BigQuery, dbt, Airflow, and Looker.

Responsabilidades

• Build cost-efficient data products from diverse data sources.
• Ingest raw data using Fivetran and Python and enrich it in BigQuery.
• Design and maintain workflows ensuring data reliability and quality.

Conhecimentos

Building and managing data products

Proficiency in Python

Hands-on expertise with BigQuery

Understanding of data modeling

Excellent communication skills

Ferramentas

SQL

dbt

Fivetran

Airflow

Looker

Descrição da oferta de emprego

About The Role

We are seeking experienced Data Engineers to develop and deliver robust, cost-efficient data products that power analytics, reporting and decision-making across two distinct brands.

What You’ll Do

• Build highly consumable and cost-efficient data products by synthesizing data from diverse source systems.
• Ingest raw data using Fivetran and Python, staging and enriching it in BigQuery to provide consistent, trusted dimensions and metrics for downstream workflows.
• Design, maintain, and improve workflows that ensure reliable and consistent data creation, proactively addressing data quality issues and optimizing for performance and cost.
• Develop LookML Views and Models to democratize access to data products and enable self-service analytics in Looker.
• Deliver ad hoc SQL reports and support business users with timely insights.
• Secondary) Implement simple machine learning features into data products using tools like BQML.
• Build and maintain Looker dashboards and reports to surface key metrics and trends.

What We’re Looking For

• Proven experience building and managing data products in modern cloud environments (GCP preferred).
• Strong proficiency in Python for data ingestion and workflow development.
• Hands-on expertise with BigQuery, dbt, Airflow and Looker.
• Solid understanding of data modeling, pipeline design and data quality best practices.
• Excellent communication skills and a track record of effective collaboration across technical and non-technical teams.

Tech stack

SQL, Python, BigQuery, dbt, Fivetran, Airflow, Google Cloud Storage, LookML, Looker.

Why Join Kake?

Kake is a remote-first company with a global community — fully believing that it’s not where your table is, but what you bring to the table. We provide top-tier engineering teams to support some of the world’s most innovative companies, and we’ve built a culture where great people stay, grow, and thrive. We’re proud to be more than just a stop along the way in your career — we’re the destination.

The icing on the Kake :

Competitive Pay in USD – Work globally, get paid globally.

Fully Remote – Simply put, we trust you.

Better Me Fund – We invest in your personal growth and passions.

Compassion is Badass – Join a community that invests in social good.