Data Engineering & Operations Specialist

Shelter Mutual Insurance Company•Columbia, MO

18h•Onsite

About The Position

Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.

Requirements

Proven experience (4+ years) as a Senior Data Engineer.
Expertise in Qlik Replicate, Compose, and DBTLabs & Astronomer.
Hands-on experience in Snowflake.
Proficiency in Qlik Replicate, Compose, and Github, DBTLabs & Astronomer for data integration, replication, and transformation.
Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.
Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.
Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.
Familiarity with data quality, data governance, and data lifecycle management practices.
Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Ability to perform essential functions of the position, with or without a reasonable accommodation.

Nice To Haves

Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.

Responsibilities

Design, implement, and maintain data pipelines, data integration solutions, and data architecture.
Ensure efficient and scalable data storage, processing, and analytics using Snowflake.