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Our client is seeking a skilled Data Engineer to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with SQL, Python and Snowflake, along with the ability to assist with Selenium web scripting for automation initiatives. The ideal candidate will have hands-on expertise in ETL processes, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.
Job Responsibility
Design, build and maintain scalable ETL pipelines to support data integration and reporting needs
Develop and optimize complex queries using SQL
Use Python to support data processing, transformation and automation tasks
Work within Snowflake to manage, transform and optimize cloud-based data solutions
Assist with automation efforts, including Selenium web scripting for web-based data extraction and process automation
Create and maintain logical and physical data models
Ensure data quality, integrity and consistency across multiple data sources
Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions
Monitor and troubleshoot data workflows and automation scripts
Document processes, workflows and technical specifications
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering or related field
3+ years of experience in a Data Engineer or similar role
Strong hands-on experience with SQL, Python and Snowflake
Experience developing and maintaining ETL workflows
Knowledge of data modeling concepts and best practices
Experience with Selenium for web automation or web scraping support
Strong analytical, problem-solving and troubleshooting skills
Ability to work independently and collaboratively in a team environment
What we offer
medical, vision, dental, and life and disability insurance