Full-Time Engineering Sr Analyst

We are seeking a Senior Data Engineer with expertise in Python, SQL, Azure, and Databricks. You will build and maintain scalable data pipelines. You will also work with cross-functional teams to ensure data reliability and performance.

Responsibilities:

• Migrate legacy data infrastructure, ensuring performance, security, and scalability.
• Build and optimize data systems, pipelines, and analytical tools using a bronze-silver-gold architecture.
• Develop and configure Databricks notebooks and pipelines for data ingestion from on-premise and cloud environments, adhering to Databricks standards.
• Collaborate with stakeholders to translate business needs into data solutions, and effectively communicate technical progress, risks, and recommendations.
• Implement data governance and access control for data quality, security, and compliance.
• Conduct advanced data analysis to support decision-making and reporting.
• Apply QA testing practices within data workflows, especially in healthcare.
• Drive initiatives in Data Discovery, Data Lineage, and Data Quality.

Requirements:

• Computer science, Engineering, or related degree.
• 3+ years of data engineering experience, with 2+ years using Azure or Databricks.
• English proficiency (B2 or higher).
• Experience with Azure Cloud, CI/CD pipelines, and Agile methodologies.
• Proficiency in developing and managing Databricks notebooks and implementing data engineering frameworks.
• Strong Python programming skills for data processing and automation.
• Advanced SQL proficiency for querying and transforming large datasets.
• Understanding of data modeling, warehousing, and performance optimization.
• Proven experience in data cataloging and inventorying large-scale datasets.
• (Optional) Pyspark experience.

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