Cloud Data Engineer

Redwood Credit Union is looking for a
Cloud Data Engineer
, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data pipelines, storage solutions, processing, analysis, and integration to facilitate data-driven decision-making. This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals.

Key Responsibilitie

• sDesign and implement scalable and secure data processing pipelines and storage environments using cloud services and tools
• .Collaborate with technical analysts, business analysts, and line of business stakeholders to understand data requirements and implement appropriate data solutions
• .Ensure data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
• .Build effective data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
• .Load transformed data into storage and reporting structures in destinations including data warehouse, reporting systems and analytics applications
• .Monitor and troubleshoot issues with the data environment to maintain high availability and performance
• .Provide on-call support for critical production systems
• .Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information
• .Utilize analytics services to provide actionable insights and support data-driven decision-making
• .Maintain effective documentation regarding data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
• .Mentor IT staff on security best practices and emerging technologies
• .Participate in continuous learning to stay current with cybersecurity advancements
• .Collaborate with colleagues to draft technology plans that enhance security posture

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Minimum Qualifications: Knowledge, Skills and Abiliti**

• esPrevious experience as an Azure Data Engineer or similar rol
• e.Proven experience using data processing languages such as Python and SQ
• L.Experience with Azure: Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and API – PySpar
• k.ETL experience in a data warehouse environment using slowly changing dimension
• s.Experience building and optimizing ‘big data’ data pipelines, architectures, and data set
• s.Ability to multi-task in a fast-paced environmen
• t.Ability to prioritize tasks and projects using a browser -based tracking syste
• m.Familiarity with JIRA preferre

**d.
Compensati**
o
n: Base starting range: $115,037 to $151,561 annually commensurate with experien

*ce.Our base salary starting range is based on scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal peer equity. We offer a competitive total rewards package including a wide range of medical, dental, vision, financial, and other benefi*

ts.