Work with our different teams to design and build data solutions for analytics and business data users.
Build, test and maintain complex data pipelines. Maintain the data domain metadata and data catalog.
Develop a strong contextual knowledge of the data in use to provide accuracy and effective data solutions.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, user guides, etc.)
Design and execute strategies for real-time data analysis and decision-making.
Actively promote and enhance best practices, standards, and audits to certify and preserve high-quality data that is fit for purpose.
Become a subject matter expert on new Data Warehouse technologies, as well as provide recommendations on making improvements.
Own, troubleshoot and resolve incidents, including escalating and managing problems with vendors.
Engage with cross-functional teams to deeply understand requirements, insights, and needs.
Be open and willing to learn new skills!
REQUIREMENTS
Bachelor’s degree in computer science/data processing or equivalent.
4 to 8 years of experience in data development and data warehousing.
Experience with data analytics and preparing data for analytics data users
Experience with cloud data warehouse platforms (Databricks and Redshift preferred)
Experience with data transformation tools (Talend and dbt preferred)
Expert in SQL and highly capable in Python and experience with data pipeline tools and Spark
Experience with orchestration and building automation tools (Jenkins, Harness, and Airflow preferred)
Ability to work independently and deliver high-quality results
Ability to work in an Agile environment (Scrum, Lean, Kanban, etc)
Outstanding communication and problem-solving skills
Knowledge of finance, accounting, capital markets, and lending preferred
Knowledge of customer data integration and customer data platforms preferred.
This job is no longer open
Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.