Snowflake Data Engineer

4 days ago

Boston, United States Experis Full time
Snowflake Data Engineer
Hybrid - once a week onsite in Boston, MA (must be local to area, no relocation)
Contract through June 30, 2025 with possibility to extend yearly

Responsible for:
  • Design, develop, and maintain complex snowflake data warehouses, including data modeling, ETL processes, and data quality control.
  • Ensure data integrity, quality, and security across all data warehousing activities.
  • Develop and maintain data pipelines to integrate data from various internal and external sources.
  • Develop and maintain data pipelines using tools for data transformation, testing, and deployment. Ensure data pipelines are scalable, reliable, and efficient.
  • Write Python code to automate data processing, transformation, and loading tasks, including data ingestion, data quality control, and data visualization.
  • Collaborate with data analysts and business stakeholders to understand data requirements and develop data solutions that meet business needs.
  • Develop and maintain data visualizations and reports using Snowflake's built-in visualization tools or third-party tools like Tableau.
  • Ensure data quality, integrity, and security by developing data validation rules, data cleansing processes, and data access controls.
  • Optimize snowflake data warehouse performance, scalability, and reliability, including monitoring and troubleshooting data issues.
  • Develop and maintain technical documentation, including data dictionary, data flow diagrams, and code comments.
  • Participate in code reviews and provide feedback to ensure high-quality code and adherence to coding standards.
  • Work closely with the data team and the overall technology team to ensure alignment on data strategy and technology standards.
  • Communicate complex data findings to non-technical stakeholders in a clear and concise manner
  • Provide technical guidance and mentorship to junior analysts and other team members

Qualifications:
  • 8+ years of experience in Snowflake data warehouse development and management, data engineering field.
  • Strong understanding of Snowflake architecture, data modeling, and data warehousing concepts.
  • Proficiency with SQL, including snowflake's SQL dialect and complex query writing for performance optimization.
  • Experience with Snowflake features, including cloning, time travel, data sharing, and micro-partitioning.
  • Strong understanding of Snowflake's architecture, including virtual warehouses, storage, and compute separation.
  • Expertise in Snowflake Role-Based Access Control (RBAC), data masking, and encryption.
  • Proficiency with data integration tools and ETL/ELT processes.
  • Experience in Python or similar scripting languages for automation and data processing.
  • Knowledge of data security and compliance standards as they relate to Snowflake.
  • Experience with cloud platforms like AWS, Azure.
  • SnowPro Advanced certification is a plus.
  • Knowledge of data governance frameworks and tools.
  • Strong experience integrating Snowflake with Tableau, Salesforce, third party APIs etc.
  • Strong analytical, problem-solving, and communication skills
  • Ability to work collaboratively in a cross-functional team environment
  • Excellent verbal and written communication skills with project teams and business teams
  • Team-oriented attitude and the proven ability to collaborate at all levels of an organization

Desired Skills/Experience:
  • SnowPro Advanced Architect or SnowPro Data Engineering certification is preferred.
  • Experience in building complex data pipelines in a multi-cloud environment.
  • Experience implementing data masking, and aggregation to reduce privacy risks
  • Experience integrating data from Salesforce solutions
  • Knowledge of CI/CD practices and tools.
  • Familiarity JIRA or other project management tools
  • Experience using GitHub
  • 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
  • Experience with advanced Microsoft Office, pivot tables, charts, Visio, data analytics and JIRA or other project management tools
  • Experience with SQL a plus

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