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Posted: Thursday, December 28, 2017 1:21 PM

Job Description:/h3:
Primary Job Functions:
Experience and Education:
Bachelors degree in Computer Science, Data Science, Information Technology or related field with four years of related work experience; OR
Associates degree in in Computer Science, Data Science, Information Technology or related field with six years of related work experience; OR
High School Diploma or GED with eight + years equivalent external work experience. Analytical, data science, integration, data warehouse or business intelligence certifications a plus.
3+ years of experience in a development or programming role within a formal IT department working with multiple data sources and formats and following development practices (SDLC, Agile Scrum, CMM:lv3, RUP, etc.) creating and communicating technical documentation such as data flow diagrams, entity relationship diagrams, technical specifications, interface specifications, test plans, etc.
2+ years of experience working with other technical and non:technical resources in a collaborative, team format.
3+ years of experience with medium complexity SQL queries, scripts, stored procedures to store, retrieve, join and manipulate data.
Experience with other languages such as Java, HiveQL, Pig Latin, etc. a plus.
2+ years of experience with .NET framework languages like C, Visual Basic, C++ or similar.
2+ years of experience working with structured and unstructured (XML, JSON, CSV, etc.) data.
Experience with distributed or MPP environments such as Hadoop, Apache Spark, Azure Data Warehouse, etc. a plus.
2+ years of experience with ETL / ELT tools for data integration, streaming and cleansing. Examples include SQL Server Integration Services, Azure Stream Analytics, Alteryx, Apache Storm, Kafka, etc.
1+ years of experience with modeling and dimensional analysis. Examples include SAP HANA, Microsoft SQL Server Analysis Services, Oracle Data Warehouse, etc.
1+ years of experience with business intelligence and reporting software. Examples include Tableau, Qlik, Cognos, Crystal Reports, Power BI, etc.
Familiar with the concepts of statistical analysis and predictive analytics.
Experience conducting statistical analysis or predicative analytics using scripting languages such as R, Python or Scala, or package software like SAS, SPSS or Matlab a plus.
Experienced with fundamental technologies in a Microsoft environment: operating systems, networking, middleware, security, databases, etc.
Demonstrated history of maintaining up:to:date technology skills in both upcoming and current, production:orientated technologies.
Essential Responsibilities:
Interfaces with other IT associates and end users to understand business requirements from a technical perspective. Develops experience in multiple business domains (Manufacturing, Sales, Services, Finance, Supply Chain, etc.)
Conducts data lifecycle activities of simple to medium complexity: problem identification, hypothesis definition, data integration, data profiling, prototyping and experimentation, data schema design, development, testing and deployment across our clients technology landscape through projects and change requests.
According to instructions builds and maintains the organization, structure and use of our clients data assets (e.g., data warehouse, Hadoop Data Lake, operational data stores, etc.).
Executes ETL / ELT integration processes: extracting, manipulating, loading, aggregating and transforming data to create and publish data services to a data catalog.
According to instructions evaluates the accuracy of data from multiple internal and external sources, identifies relationships, performs quality audits, identifies data gaps / anomalies, conducts root cause analysis with recommend solutions, and tracks error resolution through completion.
Maintains a data catalog with additions, changes and deletions to ensure most up:to:date information is available to other


• Location: Toledo

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