Senior Data Engineer

Role Overview:

We are seeking a highly experienced Senior Data Engineer to lead the design, development, and optimization of our enterprise data infrastructure. This role is critical to accelerating our data lake onboarding, improving ingestion pipelines, and ensuring best practices across our Azure-based architecture.

Key Responsibilities:

• Design and implement scalable data pipelines using Azure Data Factory.
• Lead the build-out of Bronze/Silver/Gold data layers in our Azure Data Lake.
• Optimize ingestion from diverse sources including SAP, Excel, and third-party APIs.
• Collaborate with the Data Governance team to enforce data quality, lineage, and retention policies.
• Implement monitoring and alerting for pipeline health and data anomalies.
• Mentor junior engineers and support knowledge transfer to internal teams.
• Work closely with reporting teams using Power BI and MS Fabric to ensure seamless data access.
• Evaluate and integrate new Azure services and third-party tools to enhance performance and cost-efficiency.
• Contribute to architectural decisions and participate in the Architecture Review Board.

Required Qualifications:

• Minimum 10 years in data engineering roles.
• At least 5 years of hands-on experience with Microsoft Azure (Data Lake, Synapse, Data Factory, etc.).
• Proven track record in building enterprise-grade data solutions.
• Proficiency in Python, SQL, and Spark.
• Strong understanding of cloud security, access control models, and cost optimization.
• Experience with CI/CD pipelines and DevOps practices in Azure.
• Excellent communication and documentation abilities.
• Strong problem-solving and analytical mindset.
• Ability to work independently and lead cross-functional initiatives.

Preferred Qualifications:

• Azure certifications (e.g., Azure Data Engineer Associate).
• Experience with MS Fabric and Power Platform.

**H&MV Engineering is an equal opportunity employer**