Position Description
We are looking for an experienced data engineer to join our team. You will use various
methods to transform raw data into useful data systems. As a key participant of your
team, you’ll design your changes, implement and test those amends, push to live, and
triage production issues. Overall, you’ll strive for efficiency by aligning data systems with
business goals. You will work closely with employees in creating an efficient, scalable
and secure applications. Passion for learning, collaboration and fun is a must!
Responsibilities:
●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 .
●Explore ways to enhance data quality and reliability
●Identify opportunities for data acquisition
●Develop analytical tools and programs
●Assemble large, complex data sets that meet functional / non-functional business
requirements.
●Familiarity and working knowledge of AWS cloud technologies.
Requirements:
●Experience of 5+ years in Data engineer or in a similar role.
●Technical expertise with data models, data mining, and segmentation techniques
●Knowledge of programming languages (e.g. Java and Python)
●Hands-on experience with SQL/NoSQL database design
●Great numerical and analytical skills
●Degree in Computer Science, IT, or similar field; a Master’s is a plus
Nice to Haves:
●Solid foundation in Computer Science concepts and an understanding of data
privacy and security.
●Experience with blockchain technologies such as Etherium and Hyperledger
Fabric.
●Experience with Scrum & Agile methodologies
Affirmative Action Statement
ODE considers applicants without regard to, and does not discriminate on the basis of,
an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or
ethnic origin; nor does ODE discriminate on the basis of sexual orientation or gender
identity or expression.
Tagged as: analytics, Data Processing, data science