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Associate Data Engineer

Blue Orange Digital

Teletrabalho

BRL 80.000 - 120.000

Tempo integral

Ontem
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Resumo da oferta

A data and AI consulting firm is looking for an engineer skilled in data engineering and data warehousing. Responsibilities include designing and deploying cloud data platforms, implementing ETL/ELT pipelines, and generating insights using BI tools like Tableau and Power BI. The ideal candidate has 2–4 years of experience, proficiency in Python and SQL, and familiarity with cloud platforms like Azure or AWS. This role offers a fully remote work environment and competitive salary of 6,500 USD monthly.

Serviços

Paid parental leave
Bereavement leave
Skill-building opportunities with worldwide clients
Top-notch team learning environment

Qualificações

  • 2–4 years of foundational experience in data engineering or related fields.
  • Familiarity with Medallion Architecture (Bronze, Silver, and Gold layers).

Responsabilidades

  • Assist in designing and deploying cloud data platforms.
  • Support implementation of ETL/ELT data pipelines using relevant tools.
  • Generate insights and reports using BI tools.

Conhecimentos

Proficiency in Python
Proficiency in SQL
Familiarity with Bash scripting
Familiarity with ETL/ELT concepts
Hands-on experience in cloud platforms

Ferramentas

Databricks
Spark
Tableau
Power BI
Descrição da oferta de emprego

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions. Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.

Company Overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

Position Overview:

This role is for a promising engineer with a foundational understanding of data engineering, data warehousing concepts, and cloud‑native solutions.

Experience:

2–4 years of foundational experience in data engineering and related roles/internships.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Core Responsibilities:

Assist in the design, build, and deployment of cloud data platforms, including data lakehouses and warehouses.

Support the implementation of ETL/ELT data pipelines and scheduled jobs using tools like Spark, Databricks notebooks, and a managed service like Fivetran.

Work on leveraging managed and serverless cloud offerings for application solutions and data pipelines.

Assist in adhering to basic data security and governance policies.

Assist in generating insights and reports using BI tools such as Tableau and Power BI.

Key Requirements:

Proficiency in Python and SQL, with familiarity in Bash scripting and concepts like dbt.

Familiarity with ETL/ELT concepts and best practices.

Familiarity with the Medallion Architecture (Bronze, Silver, and Gold layers).

Hands‑on know‑how in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

Consulting & Communication:

Support client‑facing teams by preparing technical documentation and assisting in project communications.

Excellent verbal and written communication skills and a team‑player attitude.

Fully remote

Paid parental and bereavement leave

Worldwide recognized clients to build skills for an excellent resume

Top‑notch team to learn and grow with

Salary: 6,500 USD monthly (range may vary depending on experience)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal‑opportunity employer.

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