Freelance Analytical Data Engineer

April 11

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501 - 1000

💰 $25M Private Equity Round on 2009-11

Description

• A Freelance Data Engineer responsible for data pipeline architecture and optimization. • Build data warehouses and pipelines in Snowflake. • Query and analyze large datasets in Snowflake using SQL. • Debug and resolve data issues. • Develop serverless data processing workflows using custom operators within Airflow. • Leverage data assets to meet mission needs, ensuring consistent data quality, establishing data standards and governance. • Create and configure appropriate cloud resources to meet the needs of the end users. • Document topology, processes, and solution architecture as needed. • Assist with the training and enablement of data consumers. • Share your passion for staying on top of tech trends and learning new technologies.

Requirements

• Enterprise-level data warehousing experience - specifically within Snowflake. • Proficiency in SQL, including multi-table joins, window functions, indexing strategies. • Data Debugging Experience • Experience developing using Python in context of data ingestion via REST APIs, manipulation with native data types, and database connection • Experience with AWS Services, including Lambda functions, EC2/ECS instances, S3, SQS, DynamoDB Tables; familiarity with IAM Roles and Policies. • Experience with development and deployment of data pipelines using Airflow; proficiency in base and third-party operators for complex DAGs. • Experience with Snowflake setting up storage integrations, external stages, data shares, snowpipes, RBAC; setting up tasks using Snowpark API. • Ability to work independently, and deliver results and drive projects with minimal supervision • Strong ability to communicate blockers and issues to management for escalation and timely resolution • Strong team player, with desire to learn new skills and broaden experience • Experience working with complex data sets