Hybrid Data Analyst III – Senior

Posted 8 hours ago

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About the role

  • Data Analyst III role at Unimed developing data pipelines and optimizing processes in healthcare sector. Collaborating with teams to enhance data quality and governance.

Responsibilities

  • Design and implement medium-complexity data pipelines.
  • Ingest data from various sources (databases, APIs, logs, web, others) and integrate with data lake/warehouse.
  • Optimize the performance of pipelines, queries, and data transformations.
  • Contribute to data modeling and data quality (governance, validation).
  • Document workflows, perform code reviews, and share knowledge within the team.
  • Support a comprehensive understanding of the healthcare business and align solutions with strategic objectives together with the Product Owners (POs) of each stream.
  • Estimate and propose realistic timelines for project activities.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, or Data Engineering.
  • Experience in Data Engineering.
  • Proficiency in programming languages: Python, PySpark, SQL.
  • Experience with Delta Lake/Tables and orchestration tools (Airflow, Databricks Workflows).
  • Experience with version control tools (Azure DevOps, git), basic automated testing knowledge, CI/CD pipelines, and Databricks Asset Bundles.
  • Experience with agile methodologies, including Scrum and Kanban.
  • Preferred: Postgraduate degree in Big Data or Data Engineering.
  • Certifications: Azure Data Engineer Associate (DP-203), Databricks Certified Data Engineer Professional, Databricks Certified Data Engineer Associate

Benefits

  • Position also open to candidates with disabilities (PwD)

Job title

Data Analyst III – Senior

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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