Senior Data Engineer

Role & responsibilities

Delivery and Execution

• Design and implement scalable, secure, and high-performance data engineering frameworks
• Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration
• Leverage Azure tools (Data Factory, Databricks, Synapse) to deliver enterprise-grade data solutions
• Optimize Synapse SQL Dedicated Pools to enhance BI performance
• Integrate data pipelines with reporting platforms like Power BI
• Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring
• Tune workflows for performance and cost-efficiency at scale

Support and Enablement

• Collaborate with Data Scientists, Analysts, Product Managers, and Business Leaders to align data solutions with strategic goals
• Share best practices, drive continuous learning, and foster knowledge exchange within the team
• Gain and apply a deep understanding of FedExs business landscape and customer value drivers
• Support DevOps practices and implement CI/CD pipelines for robust data delivery
• Mentor junior team members and promote a high-performing, growth-oriented team environment

Preferred candidate profile

Required Experience

• 4-7 years of total experience in Data engineering and big data pipeline development
• Demonstrated experience in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Experience with big data processing frameworks and modern data architecture principles

Essential skills

• Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation
• Hands-on experience in building end-to-end ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks
• Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms
• Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines
• Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows
• Strong understanding of modern data architecture and governance frameworks in a cloud environment

Desired skills

• Proficiency in Power BI and BI tools with experience in building scalable dashboards and optimizing data models
• Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision