Resumo da vaga

Senior Data Engineer 2026 COL

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

You will:

  • Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
  • Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
  • Support the deployment of data science and ML projects into production Note: You will not be developing machine learning models or algorithms
  • Note: You will not be developing machine learning models or algorithms

Details

  • Note: You will not be developing machine learning models or algorithms

Who you are:

  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • Ability to manage an individual workstream independently
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel
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FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAWS, Azure, CI/CDSkills principais
Localização1 país aceitoElegibilidade

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