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Senior Data Developer, Azure

Software EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1995H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

86 days ago

Salary

0

Seniority

Senior

Bachelor DegreePortugueseAzureETLPythonSQLVault

Job Description

Senior Data Developer, Azure

CI&T

• Implement ELT/ETL pipelines for data ingestion, transformation, and provisioning, following architecture-defined standards; • Build and maintain integrations with various data sources (relational databases and unstructured data such as emails and spreadsheets); • Develop data flows using Azure Data Factory, Microsoft Fabric Pipelines, and Databricks/Snowflake, according to the stack defined by the team; • Implement incremental ingestion strategies or full-load processes according to each domain's requirements; • Ensure pipeline observability by implementing logging, alerts, and proactive monitoring; • Build and organize Data Lake/Lakehouse layers (Bronze, Silver, and Gold) following the Medallion architecture defined by the architect; • Implement and maintain storage structures in Azure Data Lake Storage Gen2 (ADLS Gen2) and optimized formats such as Delta Lake, Parquet, and Iceberg; • Participate in the configuration and use of Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Notebooks, and Pipelines); • Support the implementation of access policies, data segmentation, and organization according to governance guidelines; • Implement data models defined by the architecture (dimensional, relational, Data Vault, etc.) in the platform's analytical layers; • Develop and maintain data transformations using advanced SQL, Python, and tools such as dbt; • Ensure consistency, integrity, and data quality across all processing layers; • Document models, transformations, and business rules applied in pipelines; • Implement automated data quality checks and tests (e.g., Great Expectations, dbt tests) in pipelines; • Support the cataloging and documentation of data assets in Azure Purview, including lineage, classification, and dataset descriptions; • Follow and promote data governance and privacy best practices defined by the architecture team, ensuring compliance with LGPD/GDPR; • Collaborate in identifying and resolving data quality issues reported by consuming teams; • Support Data Science teams in preparing and provisioning datasets for model training and validation; • Implement Feature Engineering pipelines and publish features to feature stores; • Collaborate with the AI team in structuring data flows integrated with Azure AI Foundry.

Job Requirements

  • Proven experience in Data Engineering within cloud environments;
  • Strong SQL skills for querying, transformations, and analytical modeling;
  • Experience with Python for developing pipelines and data transformations;
  • Hands-on experience with ELT/ETL pipelines in production environments;
  • Knowledge of Microsoft Azure (Data Factory, ADLS Gen2, Synapse Analytics or Fabric);
  • Familiarity with Data Lake, Lakehouse concepts and the Medallion architecture;
  • Experience with data formats such as Delta Lake, Parquet, or ORC;
  • Ability to read and interpret architectural definitions and technical documentation;
  • Development best practices: version control with Git, testing, documentation, and CI/CD.

Benefits

  • Health and dental insurance;
  • Food and meal allowances;
  • Childcare assistance;
  • Extended parental leave;
  • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass;
  • Profit Sharing (PLR);
  • Life insurance;
  • Continuous learning platform (CI&T University);
  • Discount club;
  • Free online platform dedicated to physical and mental health and well-being;
  • Prenatal and parenting responsibility course;
  • Partnerships with online course platforms;
  • Language learning platform;
  • And many more

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