AWS Snowflake Engineer

AWS Snowflake Data Engineer

Job Summary:

The AWS Snowflake Data Engineer will play a pivotal role in designing and implementing data pipelines that leverage AWS and Snowflake to support our data-driven decision-making. By integrating data from diverse sources and ensuring data integrity, you'll contribute to the scalability and performance of our analytics platform, driving insights that fuel business growth.

Key Responsibilities:

• Design and develop efficient data pipelines using AWS services like Glue, Lambda, and S3 to facilitate data ingestion and processing.
• Implement robust ETL processes to transform and load data into Snowflake, ensuring high performance and scalability.
• Collaborate with data scientists and analysts to understand data requirements and deliver relevant data solutions.
• Monitor and optimize existing data workflows to improve efficiency and reduce processing times.
• Automate data validation and cleansing processes to ensure data accuracy and integrity.
• Utilize PySpark to perform large-scale data processing and transformation tasks as required.
• Document data architecture and processes to facilitate knowledge sharing and compliance.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience working with AWS services, particularly concerning data storage and processing.
• Hands-on experience with Snowflake, including data modeling and query optimization.
• Strong proficiency in Python and PySpark for data processing and transformation.
• Understanding of database technologies, data warehousing concepts, and data governance practices.
• Excellent problem-solving skills with a keen attention to detail.
• Strong communication skills to facilitate collaboration within cross-functional teams.

Preferred Qualifications:

• Experience with data visualization tools such as Tableau, Looker, or Power BI.
• Familiarity with CI/CD pipelines for data engineering workflows.
• Knowledge of additional cloud platforms (Azure, Google Cloud) is a plus.
• Experience in machine learning or big data frameworks would be advantageous.