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Data Engineer (Analytics) Location: US-NY-New York Email this job to a friend
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BDIPlus is looking for a Data Engineer who is able to perform analytics on top of the engineering skills required for the role. The ideal candidate will work on BDIPlus and its financial clients' projects analyzing and making sense of the data as well as developing and maintaining datasets, improving data quality and efficiency. -
Analyze and organize raw data -
Build data systems and pipelines -
Evaluate business needs and objectives -
Interpret trends and patterns -
Conduct complex data analysis and report on results -
Prepare data for prescriptive and predictive modeling -
Build algorithms and prototypes -
Combine raw information from different sources -
Explore ways to enhance data quality and reliability -
Identify opportunities for data acquisition -
Education: Degree in Computer Science, IT, or similar field; a Master's is a plus -
Related Work Experience: 2 years preferred -
Previous experience as a data engineer or in a similar role -
Able to think analytically -
Technical expertise with data models, data mining, and segmentation techniques -
Hands-on experience with SQL database design -
Great numerical and analytical skills At BDIPlus, our mission is to help enterprises utilize their resources more efficiently, implement effective information management and empower them by enabling richer insights and intelligence. We are driven by a single purpose: empower the technology transformation. We are passionate about creating foundational technology platforms for enterprise data and information management. Our employees are at the heart of the work we do at BDIPlus. We are committed to encouraging and celebrating innovation, creativity, and hard work among our team members. Working at BDIPlus offers: -
A diverse, fun to work with, highly intelligent and innovative team. -
Full health and commuter benefits. -
A competitive salary and an annual bonus. -
Standard time off, sick leave, and time off on all national holidays.
BDIPlus Inc.
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