Senior Data Engineer

Position Overview

We are seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and strategic decision-making. This role focuses on developing robust data pipelines, API integrations, and governance frameworks to ensure high-quality, reliable, and accessible data. The ideal candidate combines hands-on engineering expertise with a strategic mindset to optimize the organization’s data ecosystem and drive business value.

Key Responsibilities

• Design, implement, and maintain secure, scalable data pipelines in cloud environments (e.G., Azure), ensuring data integrity, availability, and performance.
• Develop API-based integrations and workflows to handle growing data volumes and complexity across multiple systems.
• Collaborate with analysts, report developers, and stakeholders to improve data models and accessibility in BI tools (Power BI).
• Build and optimize ETL/ELT processes to transform and load data from diverse sources.
• Monitor, troubleshoot, and resolve pipeline issues, maintaining high availability of critical data assets.
• Partner with business and technology teams to define and evolve long-term data platform architecture.
• Implement and maintain data quality frameworks, including lineage, metadata management, and anomaly detection.
• Identify, integrate, and validate data sources to ensure compatibility, cleanliness, and compliance.
• Utilize DevOps tools (e.G., Git, CI/CD) to deploy and manage data workflows.
• Collaborate in Agile teams and cross-functional initiatives, providing technical guidance and support.
• Mentor team members and contribute to other data engineering projects as assigned.

Minimum Qualifications

• Proven ability to transform raw data into structured datasets that drive business decisions.
• Strong problem-solving, troubleshooting, and prioritization skills.
• Effective written and verbal communication skills with strong documentation practices.
• Process-oriented mindset with a focus on data accuracy, security, and governance.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data architecture, pipeline development, or related roles.
• 5+ years hands-on experience with Python and SQL.
• Solid experience in dimensional modeling, data warehousing, and database design.
• Microsoft DP-203 certification preferred.

Preferred Experience

• 5+ years managing enterprise data migrations and transformations.
• 3+ years building and deploying pipelines in Azure Data Services (Data Factory, Data Lake, Databricks, Event Hubs).
• 3+ years experience in Agile/DevOps environments, including CI/CD practices.
• Familiarity with modern data quality and governance tools (e.G., Azure Purview).