Data Engineer

Overview

Senior Consultant @ World Wide Technology | Business Analytics

World Wide Technology is looking for a Data Engineer . This role is part of WWT’s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner.

Why WWT?

At Worldwide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.

WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and close nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work For" list 12 years in a row!

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Compensation and Location

Rate / Salary : A reasonable estimate of the current pay range for this position is $65.00 to $70.00 hourly on W2 hourly. Actual pay will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs, and will be set by your employer. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in base pay.

Montreal, CA (Hybrid 3 days onsite)

12+ Months

Key Responsibilities

• Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
• Migrate existing data domains / flows from relational data store to cloud data store (Snowflake).
• Identify and optimize new / existing data workflows.
• Identify and implement data integrity practices.
• Integrate data governance and data science tools with Snowflake ecosystem as per practice.
• Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
• Collaborate with team members to design and implement effective data workflows and transformations.
• Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
• Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
• Participate in code reviews and provide constructive feedback to improve team deliverables quality.
• Design and develop data ingestion pipeline using Talend / Informatica using industry best practices.
• Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.

Qualifications

Senioritiy and Employment

Job Function and Industries

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Additional Information

Inferred from the description for this job

Medical insurance

Vision insurance

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