Description

You will own analytics workstreams for reliability, performance, or production reporting, delivering trusted datasets and KPIs.

Responsibilities

• Build analytics-ready models and Power BI datasets with DAX optimization and aggregations.
• Design cost-aware data pipelines in Snowflake and other data lakes for batch and near real-time scenarios.
• Implement monitoring, alerting, data freshness rules, and dataset certification readiness.
• Manage Azure AD OAuth2, service principals, and managed identities for API integrations and access control.
• Own GitHub version control, branching, rebasing, and CI workflows via GitHub Actions.

Required Skills

• 5+ years of experience in data engineering or analytics engineering.
• Strong proficiency in Python and SQL for data processing and transformation.
• Practical experience with Power BI, including DAX, model performance tuning, and RLS.
• Experience building and managing pipelines in Snowflake.
• Proficiency with GitHub, including branching strategies and PR management.
• Knowledge of Azure AD, OAuth2, and identity management for secure access.
• Experience with SharePoint REST/Graph APIs and Excel.
• Bachelor’s degree in Engineering, Computer Science, Data Systems, or related field.

Preferred Skills

• Familiarity with industrial time-series data, CMMS, and RBI contexts.
• Understanding of petrochemical processes and downstream business operations.
• Master’s degree in a related technical field.

Key Skills

Education

Any Graduate