Become a MindWiser!

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Experience: 5+ Years

Location: Remote

Type: Full Time

Roles and Responsibilities:

• Design, develop, and maintain robust data pipelines to ingest, process, and transform large datasets from diverse sources.
• Optimize SQL queries and database performance for efficient data storage and retrieval.
• Collaborate with data scientists to support data preparation and model deployment workflows.
• Develop and maintain ETL processes to ensure data integrity, consistency, and availability.
• Monitor data workflows and troubleshoot issues in data pipelines and infrastructure.
• Contribute to data architecture planning and documentation.
• Ensure compliance with data governance and security standards.

Required Qualifications:

• Minimum 5 years of professional experience in data engineering or a related role.
• Proficiency in Microsoft SQL Server (MS SQL), including writing complex queries, stored procedures, and performance tuning.
• Strong programming skills in Python, particularly with libraries relevant to data engineering (e.g., Pandas, SQLAlchemy, Airflow).
• Bachelor’s degree in Computer Engineering, Computer Science, or a related field—or equivalent practical experience.
• Experience working with structured and unstructured data, APIs, and cloud data storage.
• Familiarity with data warehouse concepts and data modeling techniques.
• Proven ability to work independently and as part of a distributed team.

Preferred Qualifications:

• Experience in the healthcare industry or with healthcare-related data systems.• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Exposure to version control tools (e.g., Git) and DevOps practices.
• Knowledge of basic data science workflows and model operationalization.