06 Dec
Data Architect
Vacancy expired!
- Design, architect and build new features, analysis methods and optimizations for the department's data warehouse (built on S3, EMR, Redshift.), MarkLogic content repository and visualization tools (using Tableau and custom web applications).
- Interact with stakeholders to understand requirements and provide technical inputs and innovative ideas to support evolving business needs
- Design and document system architectures and where applicable, build proof-of-concepts for new application development
- Lead the team and work hands-on to build, implement and maintain repositories, data ingestion and transformation processes and applications that provide new ways of searching and analyzing content and usage data for Client’s publication systems
- Define and update development practices and guidelines while mentoring the team in implementing them
- Identify and evaluate relevant new technologies and tools in the data science and search technologies areas for adoption into our technology stack.
- Bachelor's degree or equivalent experience Computer Science, Mathematics, Engineering, or similar discipline Req
- Master's or other advanced degree Preferred
- 10-15 years programming/data analytics experience in a commercial or research environment, with at least two years in a senior or lead role. Req
- Certifications or training in relevant programming languages, AWS/Big Data technologies Preferred
- Experience with AWS/Big Data technologies such as S3, EMR, Spark, Lambda, Hive, Hue, Redshift, etc.
- Advanced programming skills in Java, Scala, Python, R or other modern programming languages.
- In-depth knowledge of data modeling, SQL, NoSQL and other database-related technologies.
- Experience with search technologies, MarkLogic or Xquery preferred.
- Excellent analytical skills with ability to model and visualize statistical patterns in data.
- Ability and willingness to learn new technologies and programming frameworks.
- Good interpersonal and communication skills.
- Familiarity with text and data mining techniques preferred.
- Experience with ETL tools such as Talend and BI Tools such as Tableau preferred.
- Publishing industry experience a plus.
Vacancy expired!