Key skills

Data PipelinesData QualityData ModelingETL ProcessesSQLNoSQLBigQueryApache SparkGoogle Pub/SubGoogle DataProcAb Initio ETLDistributed SystemsData GovernanceData SecurityData EncryptionData Architecture DocumentationMachine Learning FrameworksInformation Systems DesignTransportation Industry KnowledgeMachine LearningETLData EngineeringAnalyticsSparkExpressPub/SubCommunicationProblem Solving

About this role

Federal Express Corporation is seeking a Data Engineer II who will play a crucial role in delivering engineering innovation and executing key business initiatives. The role involves designing and implementing data pipelines, ensuring data quality, and collaborating with multi-disciplinary teams to support data-driven insights.

Responsibilities:

Design and implement data pipelines to collect, process, and store data efficiently
Ensure data quality, integrity, and accessibility
Create data models to support business analytics and reporting
Work with business partners, analysts, and other stakeholders to understand data needs, and design schemas
Build and manage ETL (Extract, Transform, Load) processes for data integration and automate data ingestion and transformation tasks
Optimize ETL pipelines and databases (both SQL and NoSQL). Monitor database performance and troubleshoot issues
Collaborate with software engineers to integrate data systems with applications
Utilize big data tools for processing large datasets, such as Spark, BigQuery, SQL, Pub/Sub, or DataProc
Implement distributed systems for real-time data processing
Ensure data governance and security through compliance with data governance policies and data security standards
Implement data access controls and encryption techniques
Document data architecture, pipelines, and processes

Requirements:

Bachelor's Degree in Computer Science, Information Systems, a related quantitative field such as Engineering or Mathematics or equivalent formal training or work experience
Two (2) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics
Strong knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines
Strong knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems
Strong understanding of the transportation industry, competitors, and evolving technologies
Experience as a member of multi-functional project teams
Strong oral and written communication skills
Experience with Ab Initio ETL is preferred