Cloud Data Engineer
2 days ago
Job Description
We are seeking an experienced Cloud Data Engineer to support data intelligence solutions around Snowflake Data Warehouse. As a key member of our team, you will be responsible for architecting, designing, and operationalizing large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
About the Role
The successful candidate will have at least 5 years of software development experience and a minimum of 2 years of experience in Snowflake development in AWS. A solid understanding of architecting, designing, and operationalizing large-scale data and analytics solutions is essential. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures is also required.
Key Responsibilities
- Design and develop ETL pipelines in and out of data warehouse using a combination of Python and Snowflake's SnowSQL.
- Write SQL queries against Snowflake and develop scripts in Python to extract, load, and transform data.
- Collaborate with cross-functional teams to gather and analyze system requirements.
- Develop and implement data models that meet business requirements.
- Ensure data quality and integrity by implementing data validation and error handling mechanisms.
Requirements
- Bachelor's degree in Computer Science or related field.
- At least 5 years of software development experience.
- Minimum 2 years of experience in Snowflake development in AWS.
- Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
- Strong understanding of data warehousing concepts, including OLTP, OLAP, dimensions, facts, and data modeling.
- Excellent problem-solving skills and ability to work independently.
Salary Estimate
$120,000 - $180,000 per year, depending on location and experience.
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