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Airswift is seeking a Database Administrator II to support one of our major clients in the Energy sector. This mid-level position is suited for candidates experienced in data engineering, analytics engineering, and building highly reliable analytical data products across Snowflake, Power BI, and cloud-based data ecosystems. The Database Administrator II will own a defined analytics workstream, such as reliability, performance, maintenance, energy, or production reporting, and will deliver analytics?ready datasets, certified KPIs, and governance?aligned data models. This role requires strong technical capabilities, attention to data quality, and the ability to collaborate with business stakeholders in a fast-paced operational environment.
Job Responsibility:
Build analytics-ready data models and Power BI datasets, including DAX optimization and aggregation strategies
Design robust, cost?efficient data pipelines across Snowflake and other datalake environments, supporting both batch and near real?time data scenarios
Implement monitoring, alerting mechanisms, and data freshness tracking for production pipelines and datasets
Own and enforce data quality rules, ensuring alignment with dataset certification requirements and implementing Row-Level Security (RLS)
Collaborate with OT/IT/IIT Security, networking, and compliance teams on cybersecurity, data privacy, and access controls
Steward Azure AD group-based access controls for secure dataset and workspace management
Translate operational processes into standardized KPI definitions and reconciled analytical datasets
Implement secure integrations using Azure AD OAuth2, service principals, and managed identities for APIs such as SharePoint REST/Graph and storage endpoints
Manage GitHub version control including branching, rebasing, and repository hygiene
Author high?quality pull requests that include testing notes and rollback plans
Version and tag pipelines, shared libraries, and related engineering assets
Contribute to GitHub Actions and CI workflows for automated testing and deployment
Requirements:
3+ years of experience in data engineering or analytics engineering
Strong proficiency in Python, SQL, Excel, GitHub, SharePoint, and Power BI
Practical experience working with Snowflake
Experience with CMMS, RBI, and industrial time-series datasets
Familiarity with Azure or Microsoft Fabric-based data platforms
Understanding of petrochemical processes and downstream business operations
Demonstrated capability in Power BI performance tuning and dataset governance practices
Bachelor’s degree in Engineering, Computer Science, Data Systems, or a related field
Master's degree preferred
Nice to have:
Experience working in operational technology environments or reliability/maintenance analytics
Prior involvement in building KPI frameworks and standardized data governance structures
Hands-on experience with API integrations using Azure Identity patterns
Background in industrial data modeling, production reporting, or asset health analytics
Contributions to CI/CD workflows or DevOps practices within data engineering teams