[Remote] Data Engineer I

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 continuously 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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