Server Jobs

About The Position

Requirements

• Bachelor's Degree in CS, MIS or MCDBA certification or equivalent years of experience required
• 7-10 years experience in data engineering or experience with ETL/ELT and data integration tools required
• Working knowledge of cloud data platforms, with hands‑on experience using Snowflake for data storage, processing, and security
• Working knowledge of BI & data visualization tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of non-relational database technologies
• Experience building and optimizing data pipelines, architectures and data sets
• Experience with data integration tools and ETL/ELT tools, such as QLIK and Boomi
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with a variety of datasets
• Proven success in manipulating, processing and extracting value from large and disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience in project management, including agile methodology and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with traditional relational SQL database such as SQL Server or Oracle
• Experience with data pipeline and workflow management tools like QLIK and Boomi
• Experience with cloud services
• Experience with object-oriented/object function scripting languages: Python, PowerShell, etc.
• Strong analytical, problem solving and conceptual skills

Nice To Haves

• Experience with BI Analytics Frameworks is desired

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using SQL and cloud ‘big data’ technologies
• Manage Snowflake environment such as Administration, data ingestion and security
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keep SFFCU and Member data secure and compliant to NCUA and regulatory policies
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our analytic capabilities into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data ecosystems
• Whenever possible, provide opportunities to serve and teach others
• Be accountable for staying up to date with data storage technologies in a collaborative environment
• Performs other duties as assigned
• Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties