IIT Jobs Database - Data Analyst: IBM Data Stage / Data Replicator / Quality Stage, Z, COBOL, SQL, Modeling (1pos) Job Opening in Albany NY

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ID	Location	Skills	$$	Job Type	Status
9735	Albany, NY 12220	Data Analyst: IBM Data Stage / Data Replicator / Quality Stage, Z, COBOL, SQL, Modeling (1pos)	DOE	Contract	OPEN
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Estimated Length: 24 months Full-Time 8-4:30 negotiable Mandatory Requirements Minimum of 36 months experience Desired Requirements 84+ Data Quality analysis experience (IBM Quality Stage or comparable) 48 months IBM Data Stage or IBM Data Replicator experience 48 months Data Profiling experience 24 months IBM Data Studio experience 24 months IBM Developer for Z systems experience 84+ months Cobol experience 24 months SQL coding experience 24 months Data Modeling experience 24 months Building large scale data extraction, transformation, and load experience 24 months Database Administration and data replication experience Responsibilities Participate on the DMV Modernization Data Quality team. The client is responsible for developing a data modernization data staging solution in preparation for the DMV Modernization RFP. This project involves designing new data structures, converting/migrating data from legacy databases/VSAM files to a staging area relational database. Identify, assess, fix, document, and communicate potential quality issues in the way data is collected, stored, processed, or used. This may involve interacting with business users to resolve data quality problems using techniques such as root cause analysis as well as collecting user requirements. Fixing the data problem may require the DQA to recommend, design, implement and monitor quality procedures for use in the data production process. It may also include data cleansing operations like removing duplicate records. Under the guidance of a Data Quality project lead, the consultant will work on designing new data models using Erwin, writing COBOL data conversion programs, utilize tools such as Data Stage and SSIS to perform ETL tasks, collect required metadata and document all their work, and analyze existing DMV data quantifying specific quality dimensions.

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