Data Engineer
Location: 3 days onsite in Boston
Long term contact to hire
Key Responsibilities:
- Design and implement scalable data pipelines using Snowflake and other cloud-based data platform technologies.
- Develop and maintain ETL/ELT processes to ingest data from various sources.
- Optimize Snowflake performance through clustering, partitioning, query tuning and materialized views.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality, integrity, and security across all data platforms.
- Automate data workflows and implement monitoring and alerting systems.
- Maintain documentation for data architecture, processes, and best practices.
- Stay current with Snowflake features and industry trends to continuously improve data infrastructure.
REQUIREMENTS
Required Qualifications:
- 3+ years of experience in data engineering or related roles.
- Hands-on experience with Snowflake, including data modeling, performance tuning, and security.
- Proficiency in SQL and scripting languages (e.g., Python).
- Experience with ETL tools (e.g., dbt, Apache Airflow, Talend).
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of data warehousing concepts and best practices.
Preferred Qualifications:
- Snowflake certification(s).
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of data governance and compliance standards.
- Excellent problem-solving and communication skills.
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