Snowflake Developers

Key Responsibilities:

Data Pipeline Design: Design, build, and optimize data pipelines and workflows using Snowflake, Azure, and DBT to support data ingestion, transformation, and analytics.

Performance Optimization: Optimize query performance and data storage within the Snowflake environment to ensure efficient data processing and retrieval.

ETL/ELT Processes: Design and implement ETL/ELT processes for effective data ingestion and transformation, leveraging Snowflake s capabilities.

Cross-Functional Collaboration: Work with cross-functional teams to understand data requirements and deliver high-quality, scalable data solutions.

Data Governance: Ensure adherence to data security, compliance, and governance standards, including data privacy and regulatory requirements.

Required Qualifications:

Education: Bachelor s degree in Computer Science, Information Systems, or a related field.

Experience: 4-10 years of experience in data engineering or related roles, with a minimum of 3 years of hands-on experience with Snowflake.

SQL Proficiency: Expert-level proficiency in SQL, including advanced data querying, performance tuning, and data modeling techniques.

Snowflake Expertise: In-depth understanding of Snowflake architecture, features, and best practices for optimizing performance and managing data.

Data Warehousing: Strong knowledge of data warehousing concepts and dimensional modeling.

Microsoft Technologies: Familiarity with Microsoft suite of technologies including SSIS, SSAS, and SSMS.

Infrastructure as Code: Knowledge of Infrastructure as Code (IaC) tools like Terraform for automating infrastructure management.

CI/CD: Experience with GitHub actions and an understanding of Continuous Integration/Continuous Deployment (CI/CD) practices.

Workflow Orchestration: Experience with workflow orchestration tools such as Airflow for managing and automating data workflows.

Communication: Excellent problem-solving abilities with a proactive and positive attitude. Strong written and verbal communication skills are essential.

Preferred Qualifications:

Migration Experience: Experience with SQL Server to Snowflake migration using Fivetran, including data integration and transformation.

DBT Proficiency: Proficiency in using the data build tool (dbt) for data transformation and modeling.

Fivetran Experience: Experience with Fivetran for data integration and ELT processes.

Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

Certifications: Relevant certifications, such as Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer