JOB SUMMARY

Responsible for data engineering functions including, but not limited to: data extract, transformation, loading, integration in support of enterprise data infrastructures, data warehouse, operational data stores and master data management. Participate in multiple programs/systems as a project team member. Considered a subject matter expert for a single program/system. Diagnoses moderately complex issues.

MAJOR DUTIES AND RESPONSIBILITIES

Actively and consistently supports all efforts to simplify and enhance the customer experience.
Implement data services, data structure/models and data movement infrastructures.
Implement concepts of programming such as data structures, error handling, data manipulation and I/O processing.
Provide preventative solutions and troubleshoot data job failures, including but not limited to error handling, data manipulation and I/O processing.
Implement database concepts and practices including definition and query language.
Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and/or processing infrastructure.
Work closely with the Insights team to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations.
Participate in development of ETL processes, programs and solutions as per established standards.
Monitor and administer automated and manual data integration and ETL jobs to verify execution and measure performance.
Work closely with internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration and ETL job issues.

REQUIRED QUALIFICATIONS

Required Skills/Abilities and Knowledge

Ability to read, write, speak and understand English
Intermediate knowledge of data access methods from relational databases using SQL
Intermediate knowledge of and hands on with web services (WSDL Soap, Restful) to access data from various source systems
Knowledge of FTP/sFTP
Effective written and verbal communication skills
Excellent analytical and troubleshooting abilities

Required Education

Bachelor's degree or equivalent experience

Required Related Work Experience and Number of Years

ETL experience - 3
Experience with SQL, Shell Script, Python, JSON - 3
Data integration experience - 1
Data visualization experience (Tableau, Alterx, Microstrategy) - 1
Software engineering experience - 1
Experience with building use cases and providing development support to data scientists and data engineers
Experience with data lake - all data sources - building out data sets for uses cases
Experience with building SQL/HIVE databases and tables
Experience with querying and designing efficient warehousing structures

WORKING CONDITIONS

Office environment

MPD391 2025-52188 2025

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