Senior Data Engineer

Job Title: Senior Data Engineer
Number of positions: 1
Start Date: TBD
End Date: 6 month assignment
Possiblity of extension at end of project?: No, this is a Short term (6 month) assignment
Hours per week?: 40



Here is the JD for the role:

Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve the organization's productivity as a team
Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Regarding the "must haves for the role:

Experience with Azure cloud technologies, such as DataFactory, DataBricks

Bachelor's degree required; Computer Science, MIS, or Engineering preferred 5 years of experience working in data engineering or architecture role, 7+ preferred (3 years with 5 preferred for junior role)

Expertise in SQL and data analysis and experience with at least one programming language (Python preferred) Experience developing and maintaining data warehouses in big data solutions

Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)

Conceptua l knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Big Data Development experience using Spark and familiarity with Kafka (Preferred)

Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Agile/Digital Experience Passionate about Agile software processes, data-driven development, reliability, and experimentation Experience working on a collaborative Agile product team