Cloud Engineer

Job Title: Azure Data Engineer

Job Summary:

We are seeking a highly skilled and motivated Azure Data Engineer with expertise in Databricks, Azure Data Warehouse, Power BI, and data modeling using Erwin. The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and analytics solutions that empower data-driven decision-making across the organization.

Key Responsibilities:

• Design and implement scalable data pipelines and dimensional models (Star Schema).
• Develop and optimize enterprise data warehouse models using Erwin, with Databricks as the data repository.
• Extract and structure master data-based dimensions from existing Power BI dashboards.
• Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into robust technical solutions.
• Ensure data quality, integrity, and governance across all data platforms.
• Monitor, troubleshoot, and optimize data workflows and performance.
• Implement CI/CD practices for efficient and reliable data pipeline deployments.

Required Skills and Qualifications:

• Minimum of 5 years of experience in data engineering, with a strong focus on Power BI, Databricks, Star Schema, and Erwin.
• Proficiency in Python and Apache Spark for data transformation and analysis.
• Deep understanding of data modeling techniques and data warehouse architecture.
• Experience with version control systems (e.g., Git) and DevOps methodologies.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
• Experience with Delta Lake, Lakehouse architecture, and real-time data processing.
• Familiarity with enterprise data governance tools and best practices.
• Knowledge of the Downstream Oil & Gas industry is a plus.

**NO C2C Option - NO Sponsorship/MUST be eligible to work in the US***