Data Engineer

We are seeking a Senior Data Engineer II to join our team at FedEx ACC in Chennai, India. This role is critical in designing, developing, and maintaining robust data pipelines and systems. You will be responsible for ensuring data quality, integrity, and accessibility across our organization. Key responsibilities include creating efficient data models to support business analytics, managing and automating ETL processes, and optimizing both SQL and NoSQL databases for performance and reliability. Collaboration with data scientists, analysts, and software engineers is essential to understand data needs and integrate systems seamlessly. This position involves working with big data technologies like Hadoop and Spark, implementing real-time data processing solutions, and upholding stringent data governance and security standards, including access controls and encryption. Thorough documentation of data architecture and processes is also a key aspect of this role. The goal is to leverage data to provide actionable insights and drive business decisions.

• Design and implement scalable data pipelines for efficient data collection, processing, and storage.
• Ensure high standards of data quality, integrity, and availability.
• Develop comprehensive data models to facilitate business analytics and reporting.
• Collaborate with cross-functional teams to define data requirements and design appropriate schemas.
• Build, manage, and automate ETL processes for seamless data integration and ingestion.
• Administer and optimize SQL and NoSQL databases, including performance monitoring and troubleshooting.
• Partner with software engineers to integrate data solutions with existing applications.
• Utilize big data frameworks like Hadoop and Spark for processing large-scale datasets.
• Implement distributed systems for real-time data processing capabilities.
• Enforce data governance policies and data security standards, including access controls and encryption.
• Maintain detailed documentation for data architecture, pipelines, and operational processes.
• Deliver valuable reports and insights derived from in-depth data analysis.