Job Description
The Data Engineer will be responsible for developing, maintaining, testing, and optimizing data management systems with a focus on Data Lakehouse architecture. The role includes working with vast datasets, designing scalable data models, managing data warehouses and lakes, and ensuring seamless data integration and accessibility for analytics and business intelligence.
Key Responsibilities
• Design and Implementation of Data Pipelines: Develop and maintain robust, scalable, and efficient data pipelines that can ingest, process, and distribute data across multiple AWS services and systems.
• Data Storage and Database Management: Design and implement data storage solutions using AWS data services such as Amazon RDS, Amazon DynamoDB, Amazon Redshift, and Amazon S3, ensuring data integrity, availability, and security.
• Data Processing and Analysis: Utilize AWS analytics and data processing services such as AWS Glue, Amazon EMR, and AWS Lambda to analyze data, derive insights, and support business decision-making.
• Data Security and Compliance: Implement and manage security measures to protect data and ensure compliance with data protection regulations and AWS best practices, including encryption, access controls, and audit logging.
• Optimization and Scalability: Monitor, optimize, and scale data infrastructure and applications to improve performance, reduce costs, and accommodate growing data volumes.
• Collaboration and Support: Work closely with data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Provide support for data-related technical issues.
• Innovation and Continuous Improvement: Stay abreast of new AWS features and technologies and explore innovative ways to enhance data architecture and operations for better efficiency and effectiveness.
What We’re Looking For (Qualifications)
• Technical Expertise: Proficient in AWS services relevant to data engineering, such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, and AWS Lambda. Strong programming skills in languages such as Python, SQL, and Java.
• Data Modeling and ETL Processes: Experience in data modeling, ETL (Extract, Transform, Load) development, and understanding of data warehousing concepts.
• Database Management: Knowledge of database management, performance tuning, and query optimization.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with the capacity to work on complex data systems.
• Communication and Collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.
Education and Experience:
• A bachelor’s degree in computer science, Engineering, or a related field.
• Previous experience as a data engineer or in a similar role, specifically with AWS cloud services.
Desired Certifications:
• AWS Certified Data Analytics - Specialty.
• AWS Certified Solutions Architect - Associate or Professional.
What We Offer
Why join us? We believe in taking care of our team. Here is a snapshot of our total rewards you can expect:
● Health: Comprehensive medical, dental, and vision insurance.
● Wellness: Employee Assistance Program, life insurance, and paid time-off
● Financial: RRSP matching, profit sharing and competitive wages
● Culture: Growth opportunities and continuous learning opportunities
Join us and become part of "Team Green" at GFL Environmental, where your skills and dedication will be valued and rewarded. Apply now for this exciting opportunity!
#GFLTalent
We thank you for your interest. Only those selected for an interview will be contacted.
