Senior Data Engineer

New
C
CI&TFinancial data
Listing location: Brazil; Workplace type: Remote; Structured job location: BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLAzureSparkData modelingPySpark

Requirements

  • Have solid experience in data engineering and building pipelines in the Azure ecosystem.
  • Use advanced SQL for data manipulation, transformation, and analysis.
  • Have experience with Python and/or PySpark for ingestion and transformation scripts.
  • Have experience with Azure Databricks, including Spark, PySpark, and Spark SQL.
  • Have experience with Azure Data Factory (ADF) for pipeline orchestration and automation.
  • Have experience with KPIs and indicators in the financial or banking sector.
  • Have experience with Bronze, Silver, and Gold layered architecture (Medallion) and Delta Lake.
  • Understand analytics data modeling, including Star Schema, OBT, and fact and dimension tables.
  • Be familiar with Data Lakehouse environments and MERGE/UPSERT operations.
  • Have experience with data quality and governance.

Responsibilities

  • Develop scripts and pipelines to load data into the Gold layer, ensuring the quality, consistency, and traceability of consolidated information.
  • Structure tables containing platform performance, usage, and availability indicators.
  • Create optimized analytical models for consumption by business and management teams.
  • Ensure quality, versioning, and documentation standards for pipelines and data models.
  • Work with product, operations, and management teams to translate business needs into data engineering solutions.
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