Supervisor Data Integration Engineer

Overview

Job Title Supervisor Data Integration Engineer Job Description The Data Integration Engineer Supervisor is self-motivated individual responsible for supervising and training the Data Integration Team. They develop and ensure standard processes are used in development and promote supportability, performance, and efficiency. They work with internal business units, analysts, vendors, and key stakeholders to understand their information requirements to drive proper design, develop and implement Data Integration solutions using a variety of ETL and database technologies. Their work will support business decisions, and could span across multiple areas such as consumer experience, clinical quality, hospital operations, supply chain, finance, etc. Required Skills & Experience - Bachelor’s Degree in Business Administration, Information Science, Computer Science, Computer Engineering, or Information Technology required - Master’s Degree in Business Administration, Information Science, Computer Science, Computer Engineering, or Information Technology preferred - 7 years’ experience working as an Data Integration Lead, Data Integration Developer, or Data Integration Production Support Engineer with a Bachelor's degree - Experience with interviewing and gathering business requirements, definition and design of data source and data flows, data quality analysis, and working with the data architect on the development of logical data models. - Proficient using Infosphere/DataStage or equivalent ETL software. - Proficient with relational databases and using SQL to query, create tables, views, indexes, joins, user defined functions, and stored procedures. - Proficient using Unix and applicable scripting/scheduling tools. - Experience with the SDLC, ITSM and privacy and security processes and policies. - Experience leading teams or projects and mentoring others. - Experience with personnel management and development. What you need to know - Manages day to day Data Integration Engineers personnel function for their team, including interviewing and selection, performance, productivity, training and development and performance evaluations. Manage the workload demand and resource capacity. - Working with business sponsors, SMES and application teams, leads the work to understand the business requirements; analyze and assess availability, quality, and lineage of source system data. Design, map data from source to target and develop data integration solutions that meet business needs. Leads the team to rapidly develop and refine data integration solutions using Infosphere Datastage, SQL, FastTrack, or other technologies. Mentors other engineers through design reviews, providing feedback on feasibility, scalability, performance, and adherence to standards. - Leads the effort with business, analysts, BI team, QA team, DA team, vendors, application teams and other stakeholders to design, map data from source to target, develop, test, and implement production data integration solutions that are fully integrated into the Enterprise Data Warehouse and support Business Intelligence needs. - Support production Data Warehouse applications and utilized tools to proactively manage source system changes, optimize application and ensure availability, accuracy, security, and optimal performance.

Benefits

Company

This health system is one of the largest faith-based, nonprofit health care delivery systems in the United States. It has 29 hospital locations including 19 acute-care hospital locations, five short-stay hospitals, two behavioral health hospitals, two rehabilitation hospitals and one transitional care hospital, all owned, operated, joint-ventured or affiliated with the system. It has more than 3,900 licensed beds, employs more than 24,000 people, and counts more than 6,000 physicians* with active staff privileges at its hospitals.