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)
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