RESPONSIBILITIES: Kforce has a client that is seeking a Big Data Engineer in Wilmington, Delaware (DE). Summary: Reporting to the Team Manager for DECO Data Engineering, the Data Engineer will be part of the core group responsible for the end to end data management on the Big Data platform. The Data Engineer will be responsible for data ingestion, data validation, code development on various big data technologies, data analysis troubleshooting and user interactions working in an agile team. Can you picture yourself working for one of -America's Ideal Employers-? Our client has received numerous awards and accolades due in part to their commitment to diversity, veterans, and fostering innovation. They've been named one of Fortune Magazine's -World's Most Admired Companies- of 2018 and are included in the -Top 50 Most Innovative Companies- named by Boston Consulting Group. With on-site training and mentoring, they are committed to your professional development as well. Responsibilities Effectively partner with the Data and Analytics team to understand their data requirements, work on data ingestion, analysis, validation, transformation etc. Partner closely with various analytics projects to provide value from a data engineering perspective Provide support for development work supporting the ingestion framework, SQL and anything else needed for generating validations Support & monitor various data feeds as required for the project Experience in working in Agile/Scrum framework and participate in all ceremonies and deliver Apply quality assurance best practices to all work products REQUIREMENTS: Bachelor's or Advanced degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired Financial Services background or experience preferred across different LOBs. (Consumer, Commercial, Asset Management & CIB) Proven proficiency with data analysis and ability to troubleshoot data issues. Proficiency across the full range of big data technologies and/or database and business intelligence tools; publishing and presenting information in an engaging way Intensive, recent experience in assessing and sourcing data needs Detail oriented with a commitment to innovation Knowledge/Technical Skills: Strong experience in Big Data Hadoop stack - Hive, Impala, Spark, Spark/SQL Experience in Python, Java, Spark development is highly desired Experience with MPP databases like Teradata or Oracle is preferred Experience in Big Data technologies like Pig, Kafka is preferred Experience with scheduling & data integration tools like Control-M and Ni-Fi is highly desired Experience in data analysis, validation and reporting is a plus Exposure to machine learning is preferred Exposure to ETL tools (ABINTIO, INFORMATICA, DataStage or Others) a plus Good communication skills and ability to interact with users, make presentations and guide conversations Strong exposure in Data Management, Governance and Controls functions Ability to present complex information in an understandable and compelling manner 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.