Source description
About the role
looking for a Lead type Snowflake Data Engineer.
Must be local to Boston, MA and onsite 3 days a week
Strongly prefer the SnowPro Advanced Architect or SnowPro Data Engineering certification
I could use your help on the below. candidates must be in New England. This role is Hybrid, 3 days onsite in Boston.
Title: Snowflake Data Engineer
Location 100 Cambridge St. Boston MA
Duration: 6 months plus renewals
Responsibilities
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The Snowflake Data Engineer is responsible for:
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Design, develop, and maintain complex snowflake data warehouses, including data modeling, ETL processes, and data quality control.
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Ensure data integrity, quality, and security across all data warehousing activities.
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Develop and maintain data pipelines to integrate data from various internal and external sources.
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Develop and maintain data pipelines using tools for data transformation, testing, and deployment. Ensure data pipelines are scalable, reliable, and efficient.
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Write Python code to automate data processing, transformation, and loading tasks, including data ingestion, data quality control, and data visualization.
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Collaborate with data analysts and business stakeholders to understand data requirements and develop data solutions that meet business needs.
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Develop and maintain data visualizations and reports using Snowflake's built-in visualization tools or third-party tools like Tableau.
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Ensure data quality, integrity, and security by developing data validation rules, data cleansing processes, and data access controls.
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Optimize snowflake data warehouse performance, scalability, and reliability, including monitoring and troubleshooting data issues.
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Develop and maintain technical documentation, including data dictionary, data flow diagrams, and code comments.
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Participate in code reviews and provide feedback to ensure high-quality code and adherence to coding standards.
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Work closely with the agency's data team and the overall state technology team to ensure alignment on data strategy and technology standards.
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Communicate complex data findings to non-technical stakeholders in a clear and concise manner
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Provide technical guidance and mentorship to junior analysts and other team members
Qualifications
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8+ years of experience in Snowflake data warehouse development and management, data engineering field.
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Strong understanding of Snowflake architecture, data modeling, and data warehousing concepts.
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Proficiency with SQL, including snowflake's SQL dialect and complex query writing for performance optimization.
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Experience with Snowflake features, including cloning, time travel, data sharing, and micro-partitioning.
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Strong understanding of Snowflake's architecture, including virtual warehouses, storage, and compute separation.
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Expertise in Snowflake Role-Based Access Control (RBAC), data masking, and encryption.
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Proficiency with data integration tools and ETL/ELT processes.
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Experience in Python or similar scripting languages for automation and data processing.
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Knowledge of data security and compliance standards as they relate to Snowflake.
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Experience with cloud platforms like AWS, Azure.
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SnowPro Advanced certification is a plus.
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Knowledge of data governance frameworks and tools.
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Strong experience integrating Snowflake with Tableau, Salesforce, third party APIs etc.
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Strong analytical, problem-solving, and communication skills
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Ability to work collaboratively in a cross-functional team environment
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Excellent verbal and written communication skills with project teams and business teams
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Team-oriented attitude and the proven ability to collaborate at all levels of an organization
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Desired Skills/Experience:
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SnowPro Advanced Architect or SnowPro Data Engineering certification is preferred.
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Experience in building complex data pipelines in an multi cloud environment.
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Experience implementing data masking, and aggregation to reduce privacy risks
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Experience integrating data from Salesforce solutions
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Knowledge of CI/CD practices and tools.
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Familiarity JIRA or other project management tools
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Experience using GitHub
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Experience working on projects in the affordable housing sector or other public benefit programs
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Familiarity with a variety of software development methodologies such as agile, waterfall, and a strong understanding of the suitability of these methodologies for certain development environments and types of applications
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Experience with advanced Microsoft Office, pivot tables, charts, Visio, data analytics and JIRA or other project management tools
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Experience with SQL a plus
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