Senior Data Engineer

Role & responsibilities

• Design Scalable Data Solutions: Contribute to the design of secure and scalable data engineering frameworks for analytics and BI.
• Build and Maintain Data Pipelines: Develop and maintain robust pipelines for data ingestion, transformation, and integration across diverse systems.
• Leverage Azure Platform Tools: Utilize services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to implement enterprise-grade data solutions.
• Support BI at Scale: Enable high-performance reporting and dashboarding by optimizing Synapse SQL Dedicated Pools and integrating with BI platforms like Power BI.
• Ensure Data Quality & Governance: Implement validation checks, lineage tracking, and quality monitoring to ensure data integrity and trust.
• Optimize for Scale and Efficiency: Tune data solutions for cost-effectiveness and performance in large-scale environment
• Collaborate Across Functions: Work alongside Data Scientists, Analysts, Product Managers, and Business Leaders to align data work with business needs and strategy.
• Support Knowledge Sharing: Encourage best practices, continuous learning, and knowledge exchange within the team.
• Grow Commercial Acumen: Develop a strong understanding of FedExs business operations, goals, and customer value drivers.

Preferred candidate profile

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 4–6 years of experience in data engineering, ETL development, or related roles.
• Proficiency in SQL, Python, and PySpark/Spark SQL.
• Experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Understanding of data warehousing, data lakes, and BI-driven architecture.
• Ability to work with diverse data sources (APIs, flat files, Excel, PDFs, relational databases).
• Familiarity with DevOps, Git, and CI/CD for data workflows.
• Strong analytical, communication, and collaboration skills.
• Interest in learning the business context behind the data and its strategic applications.