Snowflake Data Engineer

3 weeks ago

Mississauga, Canada VLink Inc Full time

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions. The ideal candidate will have a strong background in Python, PySpark, SQL, Snowflake, Data Factory, Data Lakes, and OpenShift, with a passion for building reliable data pipelines and enabling data-driven decision-making.

Key Responsibilities

- Develop, construct, test, and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, and SQL.
- Manage and optimize data storage solutions in Snowflake and on Data Lakes.
- Integrate data from multiple sources and ensure data quality, integrity, and security.
- Design and implement automated workflows using Azure Data Factory or other orchestration tools.
- Deploy and manage containerized applications and services on OpenShift.
- Collaborate with Data Scientists, Analysts, and Stakeholders to understand data requirements.
- Monitor and troubleshoot data pipelines and resolve performance bottlenecks.
- Maintain documentation of data architecture, workflows, and best practices.
- Ensure compliance with data governance and security policies.

Qualifications & Skills

- Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
- Proven experience as a Data Engineer or in similar roles.
- Strong proficiency in Python, with frameworks like PySpark.
- Expertise in SQL and experience with Snowflake Data Warehouse.
- Hands-on experience with data orchestration using Azure Data Factory or similar tools.
- Knowledge of Data Lakes architecture and management.
- Experience deploying and managing containerized applications on OpenShift or Kubernetes.
- Familiarity with cloud platforms (Azure, AWS, GCP).
- Understanding of data security, governance, and compliance best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.

Preferred Skills

- Experience with other big data tools (e.g., Kafka, Hadoop).
- Knowledge of CI/CD pipelines and DevOps practices.
- Familiarity with other cloud data services and tools.

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