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:

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