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RESPONSIBILITIES:
Kforce's client is looking to bring on multiple Data Engineers to join their team for a long-term contract in Piscataway, NJ. The Data Engineers will be responsible for developing enablement strategies for effective data analysis and data product.
Responsibilities:
Selects, configures and implements analytical and web solutions such as integrated data consumption layer
Develops and implements data analytics, data collection systems, and other strategies that optimize statistical efficiency and quality
Identifies, analyzes, and interprets trends or patterns in complex data sets
Monitors performance and quality control plan to identify performance
Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices
Works with management to prioritize business and information needs
End to end build of the pipeline and data harmonization component to enable insight generation for executive and channels to take proactive action on time
Design, develop, and implement software based on requirements
Troubleshoot production issues and coordinate with the support team for code deployment
Collaborate with team members to follow process, procedures, and data security
Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability
REQUIREMENTS:
B.S. or equivalent Engineering degree with at least 5 years of work experience
4 years of hands of experience on Teradata Utilities (Bteq/Mload/Tpump/QG/Fast Export)
6 months of hands of experience on HIVE/Spark/HSQL/OOZIE is nice to have
Must know Teradata and knowledge of Bigdata Technology
Experience in UNIX is a must.
Knowledge on Jenkins, Jira, Git, etc.
Working knowledge of database (Teradata) and SQL (Structured Query Language)
General operational expertise such as good troubleshooting skills, understanding of system's capacity, bottlenecks, data anomalies
Experience in Design and build of the infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology such as Non -SQL and Big data
Experience in Building data and analytics tools that will offer deeper insight into the pipeline, allowing for critical discoveries surrounding key performance indicators and customer activity
Experience Initiating and participating in projects in the area of prediction, optimization, and processes using advanced statistical/mathematical approaches, in the enterprise environment
Experience in Identifying valuable data sources and automate collection processes
Experience in Undertaking and preprocessing of structured and unstructured data
Experience in Analyzing large amounts of information to discover trends and patterns
The ability to analyze, model and interpret data
Problem-solving skills
A methodical and logical approach
The ability to plan work and meet deadlines
Accuracy and attention to detail
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.