Data Architect for Cloud Data Warehousing
1 week ago
We are a fast-growing data and analytics consulting firm that partners with Fortune 500 companies to solve complex business challenges through data-driven insights.
Our mission is to help organizations make smarter decisions by turning data into a strategic asset, enabling them to improve operations, boost performance, and enhance customer experiences.
About the RoleAs a Snowflake Data Engineer, you will play a key role in designing and implementing robust, scalable data architectures and pipelines to support advanced analytics and data-driven decision-making.
You'll work closely with cross-functional teams to understand business requirements and translate them into efficient, optimized data solutions.
Responsibilities- Design and implement data models and pipelines using Snowflake and cloud data warehousing technologies.
- Develop and maintain ETL processes, data integration tools, and scripting languages such as Python or Java.
- Collaborate with data scientists and analysts to ensure data quality, security, and governance standards are met.
- Technical Expertise:
- Proficiency in Snowflake, including SnowSQL, Snowpipe, and Snowflake stored procedures.
- Strong SQL skills and experience in query optimization.
- Experience with data integration tools (e.g., Informatica, Talend, or similar).
- Familiarity with cloud platforms (Azure Data Factory) and cloud data solutions.
- Snowflake certification is a plus.
- Familiarity with big data frameworks such as PySpark or Hadoop.
- Knowledge of agile methodologies and DevOps practices.
- Competitive salary: $120,000 - $180,000 per year, depending on experience.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
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