Resumo da vaga

Senior Data Analytics Engineer

Requisitos e responsabilidades

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Key Responsibilities

  • Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
  • Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
  • Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
  • Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
  • Implement CI/CD practices using Azure DevOps or Git-based workflows
  • Ensure data quality, consistency, and governance across all delivered data solutions
  • Monitor and troubleshoot pipelines for performance and operational excellence
  • Collaborate with international teams, architects, and analytics consultants
  • Contribute to technical documentation and solution design assets

Required Skills & Qualifications

  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field
  • Hands-on experience in DataOps / Data Engineering
  • Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
  • Proficiency in Python and SQL
  • Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
  • Understanding of CI/CD practices and DevOps for data.
  • Knowledge of data modeling, orchestration frameworks, and monitoring tools
  • Strong analytical and troubleshooting skills
  • Eagerness to learn and grow in a global consulting environment

Nice to haves

  • Experience with Delta Live Tables, Unity Catalog, or Lakehouse concepts
  • Knowledge of BI tools (Power BI, Qlick)
  • Exposure to Agile / Scrum frameworks
  • Relevant certifications (Azure Data Engineer, Databricks, Snowflake)

What We Offer

  • Remote working model aligned with international project needs
  • Full-time employment contract with a USD-based compensation package
  • Opportunity to work on European and global engagements
  • Mentorship and growth paths within SDG Group
  • A dynamic, innovative, and collaborative environment
  • Access to world-class training and learning platforms
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FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAzure, CI/CD, PythonSkills principais
Localização1 país aceitoElegibilidade

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