Snowflake Developer
AI Summary
Designs, develops, and maintains data pipelines and ELT processes in Snowflake, writes and optimizes complex SQL queries and stored procedures, and integrates Snowflake with various data sources and third-party tools.
About this role
Snowflake Developer
Amidel is an Information Technology and Business Consulting Company that provides highly specialised solutions to large and small enterprises across both the private and public sectors. We are seeking a skilled Snowflake Developer to support our clients with data warehousing and analytics solutions in dynamic, enterprise-grade environments.
This role offers an exciting opportunity to work with enterprise-level data teams, helping design and optimize scalable data pipelines and reporting layers using the Snowflake cloud data platform.
Job family: Data Engineering / Cloud Analytics / Data Warehousing
Minimum Experience:
- 3+ years of experience in data engineering or cloud-based data warehousing
- 2+ years hands-on experience with Snowflake
- Strong SQL development background
Education Requirements:
- Bachelor’s degree in information systems, Computer Science, or related field.
- Advantageous: Snowflake or cloud data certifications
Contract Type:
Permanent or Fixed-Term
RESPONSIBILITIES
- Responsibilities may vary per engagement, but typically include:
- Designing, developing, and maintaining data pipelines and ELT processes in Snowflake
- Writing and optimizing complex SQL queries and stored procedures
- Integrating Snowflake with various data sources and third-party tools
- Supporting data modelling efforts for enterprise data warehouses and analytics
- Collaborating with business analysts and BI developers to ensure efficient data delivery.
- Implementing best practices for performance tuning, cost optimization, and security in Snowflake
- Maintaining documentation of data processes and workflows
- Ensuring data quality, integrity, and compliance with governance standards
QUALIFICATIONS AND COMPETENCIES
- Solid experience in Snowflake data warehousing, including schema design, SnowSQL, and performance tuning.
- Proficiency in SQL, with a strong understanding of relational databases and data warehousing principles
- Experience with ETL/ELT tools (e.g. dbt, Matillion, Informatica, Talend, Azure Data Factory, etc.)
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Experience with version control and CI/CD in data environments (e.g. Git, DevOps pipelines)
- Strong problem-solving skills and attention to detail
- Good understanding of data governance, security, and compliance frameworks
- Excellent communication skills, with the ability to work collaboratively across technical and business teams.
If you are passionate about modern data platforms and want to work on impactful data solutions across industries, we encourage you to apply. This is an excellent opportunity to work on leading cloud technologies and contribute to innovative data-driven decision-making.
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