Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, World Wide Technology, is seeking the following. Apply via Dice today! 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! 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. Data Engineer Montreal, CA 6 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. • Design, implement data distribution layer using Snowflake REST API. Skills / Qualifications • Bachelor s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master s degree preferred) • 10 years experience in data analysis, data objects development and modelling in Snowflake data store. • Snowflake REST API experience • Informatica ETL and/or Talend ETL experience. • Efficient SQL and PLSQL queries development and Python scripts development experience. • Proven ability to work in distributed systems • Proficiency with relational databases (such as DB2) querying and focus on data transformations. • Excellent problem-solving skills and team-oriented mindset • Strong data modelling concepts and schema design on relational data store and on cloud data store • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles. • Familiarity with data visualization tools such as Tableau and PowerBI is a plus. • Collaborating with data scientists/experts to integrate machine learning models into Snowflake • Data Warehousing background is required