Specialist-Data Engineering -IT

AI powered data engineering
• Develops, builds, and tests data solutions to deliver business value while meeting quality & technical requirements independently. Builds and maintain ELT/ETL pipelines in Azure Data Factory feeding Snowflake, with robust orchestration and monitoring.
• Design layered data models (Bronze → Silver → Gold) and optimize SQL for performance and scalability.
• Integrate domain source data into DataMesh and create reusable ingestion playbooks. Assemble large, complex datasets that meet functional and, non-functional requirements and enterprise technology and data protection standards
• Collaborate with EHS reporting teams to expose curated datasets for Power BI
• Implement data quality checks, runbooks, and mapping documentation; participate in code reviews.
• Deploy complex eneterprise solutions to a wide range of data technology patterns and platforms.
• Demonstrate and document solutions by using flowcharts, diagrams, code comments, data lineage, and technical and business metadata
• Operate within ServiceNow workflows for requests and incidents.
• Accountable for end-to-end delivery from source data acquisition, complex transformation and orchestration pipelines, AI/ML engineering, and front-end visualization
• Collaborates directly with business stakeholders to deliver rapid, incremental business value
• Collaborate across complex arrays of people, technology and environments
• Resolves problems that are differing, but related. Issues require advanced analytical or problem-solving techniques to identify cause. Develops solutions based on limited information and past experience. Adapts existing approaches. Anticipates future issues.

Qualifications:

• Over all 12 + Years of exp with relevant 5-9+ years in data engineering with hands-on experience in AI powered Data engineering using GitHub CoPilot, Azure Data Factory, Snowflake, and advanced SQL.

• Bachelor's degree from an accredited insititution. Masters or advanced degree is preferred

Skills:

• Strong understanding of data modeling, performance tuning, and ETL best practices.
• Experience integrating external APIs/vendor data securely into enterprise platforms.
• Experience working on various AI tools including but not limited to Snowflake Intelligence, Cortex, GitHub Copilot, Zenlytics, Streamlit etc
• Proven collaboration with analytics/reporting teams and ability to document processes clearly.

Preferred Qualifications
• Familiarity with Snowflake OAuth integrations, and Power BI connectivity patterns.
• Knowledge of ServiceNow/JIRA workflows for change and incident management.