What are the responsibilities and job description for the Snowflake Data Engineer position at Acadia Technologies, Inc.?
Job Details
Core Skills:
- SQL: Essential for querying, manipulating, and managing data within Snowflake.
- Data Modeling: Designing robust data models that support business requirements, including schemas, relationships, and data integrity.
- ETL (Extract, Transform, Load): Expertise in designing and implementing ETL pipelines to load and transform data into Snowflake.
- Cloud Data Warehousing: Understanding data warehousing concepts, cloud storage, and cloud-based technologies.
- Data Pipelines: Designing, building, and maintaining data pipelines for efficient data ingestion and processing.
- Snowflake Architecture: Understanding Snowflake's architecture, virtual warehouses, and storage mechanisms.
- Performance Tuning: Optimizing Snowflake's performance for efficient data access and processing.
- Data Governance and Security: Implementing and maintaining data security and governance practices within Snowflake.
Optional but Beneficial Skills:
- Python: Useful for data manipulation, scripting, and integration with other tools.
- Data Science Concepts: A basic understanding of machine learning and data science principles.
- Machine Learning Libraries: Familiarity with tools like TensorFlow, Spark, and PyTorch, if used for advanced analytics.
- BI Tools: Experience with business intelligence tools like Tableau or Power BI.
- Big Data Technologies: Knowledge of Hadoop, Spark, and Kafka, if these technologies are used in the data pipeline.
- Containerization and Orchestration: Experience with Docker, Kubernetes, and Airflow.
- Project Management: Managing data engineering projects and ensuring timely delivery.
- Data Visualization: The ability to create compelling visualizations to communicate insights.
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Salary : $60,000