Senior Snowflake Data Movement & ETL Engineer

Duration

6 months to start (with potential for conversion)

• The client is embarking on the modernization of its core data platforms.
• We are currently seeking a Data Movement Engineer who can provide production support to our existing and future ETL environments.
• This role will also lead the design, optimization, and support framework of Snowflake-based data solutions.
• The ideal candidate will possess strong technical expertise in Snowflake, data warehousing methodologies like Data Vault 2.0, and be comfortable leading complex projects and mentoring team members.

• Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, and optimizing data pipelines.
• Proactively identify and resolve issues related to data integrity, latency, and pipeline failures to maintain smooth operations.
• Translate stakeholder requirements into Snowflake-specific solutions for data movement.
• Develop and optimize SQL queries, warehouse configurations, and data models for performance, reliability, and scalability.
• Design, develop, and optimize Snowflake data pipelines and models.
• Recommend and implement best practices for data ingestion, transformation, storage, security and data modeling.
• Support advanced features like Change Data Capture (CDC) and Slowly Changing Dimensions (SCD Type
  2).
• Support frameworks like Data Vault and dimensional modeling in Snowflake.
• Monitor and troubleshoot data pipeline failures and performance issues in ETL and Snowflake environments.
• Thoroughly test all production solutions prior to implementation.
• Perform root cause analysis of data discrepancies, latency, and integrity issues.
• Provide production support for IBM DB2, Snowflake, and orchestration tools (Airflow, ESP).
• Collaborate with other teams to implement fixes and preventive measures.
• Perform data quality analysis, report issues, and propose solutions.
• Ensure data accuracy, completeness, and consistency across systems.
• Implement validation and reconciliation checks within pipelines.
• Support data governance initiatives including metadata management and lineage tracking.
• Lead the design, development, and maintenance of Snowflake processes.
• Provide technical leadership, code reviews, and mentorship to junior developers.
• Coordinate with business stakeholders, data architects, and application teams to gather requirements and deliver solutions.
• Communicate issue status, impact, and resolution timelines effectively.
• Maintain comprehensive documentation for all Snowflake-related issues, fixes, and scripts, ensuring they are version-controlled and aligned with data architecture and security standards.
• Develop and maintain production support playbooks and detailed ticket resolution procedures to enable consistent and efficient incident handling.
• Prepare effort estimations and contribute to architectural decisions.
• Provide regular updates and reports on issue trends and improvement initiatives.
• On-call and/or after-hours work required.

• Minimum of 5 years of relevant experience in data warehousing, business intelligence tools, and data analysis.
• Minimum of 3 years of SQL query development across multiple database platforms (Snowflake, Oracle, SQL Server, DB2).
• Strong expertise in Snowflake (development, data modeling, security). Snowflake certification preferred.
• Strong proficiency in SQL and scripting languages (e.g., Python, Shell).
• Experience with cloud database technologies.
• Familiarity with orchestration tools (ESP, Airflow) and version control systems (Git).
• Experience with incident management tools (e.g.,Service Now,Jira) and CI/CD practices.
• Expertise inCDCandSCD Type 2implementations using SQL.
• Solid understanding of data architecture, dimensional modeling, and frameworks like
  
  Data Vault.
• Ability to solve problems using analytical thinking skills.
• Must work well independently and be inquisitive.
• Strong organizational and time management skills.

• Bachelors degree in computer science, Information Systems, or related field.
• 5+ years of experience in Snowflake development and data warehousing.

• Must be able to remain in a stationary position for a majority of the workday.