Job Title: Snowflake Developer Integrator
Job Summary:
(candidates all over Canada will work. Please share written confirmation for relocation from day 1
We are seeking an experienced Snowflake Developer Integrator to join our team. As a Snowflake Developer Integrator, you will be responsible for designing, developing, and maintaining data integrations on the Snowflake platform. You will collaborate with cross-functional teams to gather requirements, design and develop ETL pipelines, and ensure data quality, accuracy, and reliability. Additionally, you will optimize data integration processes and troubleshoot any issues that may arise.
Responsibilities and Duties:
- Collaborate with business stakeholders and analysts to understand data integration requirements.
- Design, develop, test, and deploy ETL processes on the Snowflake platform.
- Develop reusable Snowflake scripts and SQL queries for data transformation and integration.
- Monitor and optimize data integration processes for efficiency and performance.
- Troubleshoot and resolve data integration issues and performance bottlenecks.
- Ensure data quality, accuracy, and reliability in the integrated datasets.
- Perform data analysis and identify opportunities for data integration enhancements.
- Continuously evaluate and propose improvements to existing data integration processes.
- Collaborate with the data architecture team to design and implement data models.
- Document data integration processes, including data mappings and transformation rules.
- Stay updated with the latest trends and technologies in Snowflake and data integration.
Qualifications and Skills:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Snowflake Developer or Integrator.
- Strong expertise in developing and maintaining ETL pipelines using Snowflake.
- Proficient in SQL and scripting languages like Python or Bash.
- Familiarity with data integration tools like Informatica, Talend, or Matillion.
- Solid understanding of data warehousing concepts and dimensional modeling.
- Experience in working with large datasets and handling complex data integration scenarios.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in cross-functional teams.
- Excellent communication and interpersonal skills.
Hashtags:
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