Data Engineer
Full Time
3+ Years
Canada
Job Description
We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data architecture, ensuring efficient data processing and storage. This role offers an exciting opportunity for a detail-oriented and innovative professional to contribute to the development of robust data pipelines and systems.
Responsibilities
- Data Architecture: Design and implement scalable and efficient data architecture, including databases, data warehouses, and data lakes.
- Data Integration: Develop and maintain data integration solutions, ensuring seamless and accurate flow of data between systems.
- ETL Development: Design and implement ETL (Extract, Transform, Load) processes to collect, transform, and store data from various sources.
- Data Modeling: Create and maintain data models to support business requirements and analytical needs.
- Performance Optimization: Optimize data processing and storage for performance, ensuring timely and reliable access to data.
- Data Quality: Implement data quality processes and monitoring to ensure the accuracy and reliability of data.
- Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure.
- Security: Implement and maintain data security measures to protect sensitive information and ensure compliance with data protection regulations.
Skills Required
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degree or relevant certifications are a plus.
- Experience: Minimum of 3-5 years of professional experience in data engineering or a related field.
- Technical Skills: Proficient in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark. Strong knowledge of SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Big Data Technologies: Familiarity with big data technologies, such as Hadoop and distributed computing.
- Data Warehousing: Experience with data warehousing solutions (e.g., Snowflake, Redshift) and knowledge of data warehouse design principles.
- Data Modeling Tools: Proficient in using data modeling tools and techniques to create efficient and scalable data structures.
- Problem-Solving Skills: Strong problem-solving skills to address complex data engineering challenges.
- Collaboration: Excellent collaboration and communication skills to work effectively within a team and across departments.
We have cool benefits support you
- Competitive Compensation: We offer a competitive salary and benefits package to recognize and reward your expertise and contributions to our data engineering initiatives.
- Health and Wellness: Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
- Professional Development: Opportunities for ongoing professional development, including training sessions, workshops, and certifications to stay updated on the latest data engineering technologies.
- Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible work arrangements to support your well-being.
- Cutting-Edge Projects: Work on cutting-edge data engineering projects that challenge and inspire you, allowing you to showcase your skills and contribute to the success of the organization.
- Collaborative Environment: Join a collaborative and inclusive work environment where your technical skills contribute to the success of our data initiatives.
- Career Growth: A supportive environment that encourages career growth and provides opportunities for advancement within the organization.
- Innovation: Be part of a team that values innovation, encourages new ideas, and embraces the latest technologies to drive data-driven decision-making.