Hybrid Senior Data Engineer, Databricks

Posted 2 months ago

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About the role

  • Data Engineer focusing on scalable data pipelines for analysis and visualization. Join CI&T, a tech transformation expert, with diverse client partnerships over 30 years.

Responsibilities

  • Design, develop and maintain scalable data pipelines to support data analysis and visualization.
  • Collaborate with cross-functional teams to ensure data integrity and usability.
  • Integrate and optimize data quality across all pipelines.
  • Implement and work with Data Lake and Data Warehouse solutions, ensuring data modeling best practices.
  • Participate in data governance rituals, such as PDCA and risk management, to ensure data quality and integrity.
  • Define and monitor Non-Functional Requirements (NFRs) related to data quality and performance.
  • Communicate and align technical solutions with the client team, ensuring that all requirements are met.
  • Act as a trusted advisor to the client and internal team in the implementation of data-related technologies and processes.
  • Propose and implement innovative solutions to technical data challenges, ensuring a stable and productive development environment.

Requirements

  • Experience with Databricks (Spark, PySpark) and PowerCenter.
  • Solid experience in Data Warehouse and Data Lake, with knowledge of best practices in data modeling and data governance.
  • Experience with Azure services such as Data Factory, focusing on data integration and orchestration.
  • Strong understanding of data quality, data pipelines and DataOps practices.
  • Familiarity with DataOps environments, including continuous integration and delivery (Git, SCM).
  • Ability to mobilize teams and communicate effectively to resolve problems and impediments.
  • Capability to create and manage the project's technical roadmap, including technical dependencies and change management.
  • Competence in orchestrating and integrating solutions, taking into account trade-offs and technical metrics.

Benefits

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and 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
  • Pregnancy and responsible parenting course
  • Partnerships with online course platforms
  • Language learning platform
  • And many others

Job title

Senior Data Engineer, Databricks

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

HybridBrazil

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