Note: The job is a remote job and is open to candidates in USA. Redstone Federal Credit Union is seeking a Data Engineer I to create, manage, and improve their data architecture and pipelines. The role involves collaborating with data scientists to deploy data products and ensuring the integrity and performance of the data warehouse.
Responsibilities
- Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses
- Collaborate with data analysts and data scientists and software engineers to build, maintain and improve data models
- Assists with establishing, maintaining and improving metadata management tools and processes
- Build, maintain and improve the infrastructure required for optimal ETL/ELT from a wide variety of data sources
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional and non-functional business requirements
- Assists with establishing data quality standards and implement processes and tools to assess and improve data accuracy, completeness, reliability, relevance and timeliness
- Assists with development and implementation of disaster recovery plans and processes to protect the integrity and availability of enterprise databases and data pipelines
- Completes all required training programs to maintain a current knowledge applicable to assigned duties and responsibilities, including regulatory compliance requirements
- Maintains a professional image and demeanor at all times, consistently demonstrating Credit Union RISE Values and adhering to the Code of Ethics
- Delivers friendly, caring service to internal and external members
- Complies with all applicable State, Federal and NCUA rules and regulations and all Credit Union policies and procedures
- Follow all physical and online security procedures and maintain strict confidentiality of all member information
- Completes all required regulatory and compliance training and maintains required knowledge of Credit Union products and services
- Works scheduled hours and maintains punctuality
- Performs other related duties as assigned or requested
Skills
- 4 Year / Bachelors Degree - Computer Science, Statistics, Informatics, Information Technology or another quantitative field - Required
- 2 Years - Responsible experience in a data engineering, database administration, or data science role - Required
- Experience with the administration and use of relational databases (e.g. Postgres, Oracle, SQLServer) - Required
- Experience with administration and use of data warehouses (e.g. Redshift, Snowflake, Incorta) - Required
- Experience with core programming languages (e.g. SQL, Python, C#) and with Linux/Unix commands, scripting (bash) and file management - Required
- Effectively apply internal/external customer service practices and processes to meet quality service standards and achieve member satisfaction
- Learn and apply information, on a wide range of Credit Union products, services and regulatory compliance requirements, in order to assess member situations and develop solutions
- Communicate in a professional manner and deliver information clearly and effectively. Actively listen to questions, opinions and ideas of others. Use tact and diplomacy in sensitive and confidential situations
- Lead and model RISE values and Code of Ethics through daily interactions and conduct
- Provide guidance in the resolution of complex problems utilizing advanced knowledge and experience within areas of responsibility
- Use correct English including spelling, grammar and punctuation
- Understand and follow written and oral instructions
- Strong analytical aptitude with a driving curiosity to identify, formulate, and solve problems
- Set priorities and manage one's own time effectively
- Experience with ETL/ELT tools (e.g. SSIS)
- Experience with profiling data, with and without data definition documentation
- Experience with data modeling, especially dimensional modeling
Benefits
- Remote work environment considered.
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