Data Engineer Qnity

Responsibilities:

• Partner closely with business to understand problems, shape requirements, and define data solutions with clear outcomes.
• Lead and mentor the data engineering team, driving engineering best practices and delivery excellence.
• Provide technical leadership across architecture, development, troubleshooting, and delivery to drive execution speed and quality.
• Collaborate with Data Architects, Data Scientists, and Product Owners to enable  business adoption of AI and advanced analyticsdriven decision making.
• Drive innovation and continuous improvement by challenging existing processes and proposing new solutions.
• Maintain and evolve the data platform for business reporting and AI workloads.
• Partner with Data Product Owners to define clear technical designs and execution plans aligned with business outcomes.
• Design and maintain scalable data ingestion frameworks supporting both batch and streaming use cases.

Experience & Skills:

• 8 years of experience in Data & Analytics, including hands-on experience with Azure data engineering technologies.
• Strong hands-on experience with Python, SQL, and PySpark.
• Strong understanding of Databricks Unity Catalog for data governance and security, along with CI/CD using DevOps.
• Experience in designing scalable, secure data architectures and building AI-ready data platforms.
• Proven ability to work with business and technical stakeholders to gather requirements and translate them into high-impact data solutions.
• Strong sense of ownership, accountability, and execution discipline across multiple initiatives.
• Excellent communication skills, with the ability to handle high-impact business stakeholder interactions effectively.

SKILLS AND EXPERTISE

Mandatory Skillset:

• Recent 5+ years of experience in Azure services/tools
• Python
• SQL
• PySpark.
• Databricks Unity Catalog for data governance and security
• Strong sense of ownership, accountability, and execution discipline across multiple initiatives.