Senior Data Engineer

Summary

As a Senior Data Engineer on the Data Engineering team, you will provide expert leadership in Snowflake cloud data warehouse modeling, design, deployment, and maintenance of the data engineering framework that supports the enterprise’s data needs both internally and externally. You will play a key role in advancing data analytics initiatives by designing, building, and managing data ingestion, transformation, and maintenance processes to ensure the delivery of accurate and reliable data across Snowflake and on-premises environments. Additionally, you will drive continuous improvement of data engineering operations by innovating and developing self-service automation tools that enhance efficiency and simplify the overall customer experience. This role uniquely blends technical expertise in data engineering with a deep understanding of the business systems and processes involved, ensuring data solutions align with organizational goals.

Responsibilities :

• Design and implement Snowflake-based data solutions aligned with business requirements and industry best practices
• Engineering tasks including data analysis, data models, reverse engineering, and performance optimization
• Collaborate closely with other data engineers to design and optimize ELT / ETL pipelines using tools such as Matillion and Snowflake’s native features
• Design, develop, and deploy data pipelines to create or enhance data warehouses / marts
• Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and database technologies
• Stay current with emerging AI technologies and best practices, with a focus on Snowflake’s AI capabilities and platform advancements, to continuously improve AI-enabled data solutions
• Document technical specifications, data models, process flows, standards, processes, and procedures
• Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Guide and mentor data engineering team members on advanced data engineering theories, principles, and concepts
• Define comprehensive data processing strategies to ensure the most optimal outcomes
• Provide on-call production support on a rotational basis, including monitoring and facilitating resolution of support for all data engineering related services
• Sets design, test, documentation, and implementation standards in accordance with HIPPA and other patient data management policies and ensures that data management systems adhere to them

Credentials and Experience :