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Title: Data Profiling Lead

Location: Hartford, CT

Duration: 6 - 12+ Months

Mandatory Skills: Data Stage, BODS, IBM Cloud Pack for Data, Information Analyzer, Data Profiling, ETL tools experience required

Job Description:

Roles & Responsibility

• Designs, develops, delivers and supports enterprise scale ETL integration solutions using IBM's Info Sphere DataStage product suite
• One or more Data Methodology experience: Data Standards, Data Quality, Data Modeling, Data Profiling, Metadata management, or Master Data Management
• Expertise in SQL.
• Experience in configuring and extracting data from web services / REST APIs
• Proven ability to develop, debug, maintain, optimize, support, and test all ETL designs and code
• Gained expert level knowledge of Data Warehouse development and Production support
• Experience in Unix/Linux scripting
• Team player with strong analytical and problem-solving skills
• Strong technical knowledge on IBM Infosphere Datastage ETL tool.
• Building data warehouses and designing ETL processes and procedures using tools. -
• Development and support for the Enterprise Data Warehouse and the Global Data Warehouse
• Providing integrated data services by loading data from multiple regions, applications and domains into one common format
• Supporting data for Regulatory reporting and analytics that will enable data-driven decisions to create a competitive advantage for the company MIS has an open Software Engineer position with experience in delivering ETL solutions.
• Business (Information) analysis and process design
• Data (information) governance and regulatory compliance
• Strong written, verbal and interpersonal communication skills
• Experience in information technology or comparable experience working as a business partner or information technology professional desired
• Working knowledge of IBM Watson Knowledge Catalog / Cloud Pak for Data (preferred) or other leading data governance solutions preferred
• Working knowledge of data science and machine learning tools like: Alteryx, Knime, Informatica, etc.. and data quality / profiling tools like: IBM Information Analyzer"