Data Engineering & Operations Lead

About the role

Responsible for architecture & design, implementation, and maintenance of data warehouse operations. Expertise in Snowflake, AWS and Qlik tools is required to ensure efficient and scalable data storage, processing, and analytics.

Responsibilities

• Architecture & design of data warehouse operations
• Implementation of data warehouse operations
• Maintenance of data warehouse operations

Qualifications

• Bachelor's or Master's degree in computer science, information systems, or a related field is preferred
• Proven experience (7+ years) as a Data Engineering Practitioner typically required
• Proficiency in Qlik Replicate, Compose, 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
• Knowledge of dbtLabs, Astronomer, Github is preferred
• 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 the essential functions of the position, with or without a reasonable accommodation

Benefits

• Health, Dental, Voluntary Vision and Prescription Drug Insurance
• Savings and Profit Sharing 401(k)
• Paid Time Off for Sick and Personal Leave, Vacation and Holidays
• Vitality Wellness Program
• "Dress for Your Day" Dress Code
• Flexible Scheduling
• And much more!