LP
AWS Data Engineer
LinkedIn Recruiter Post
Hiring an AWS Data Engineer for a contract position in Toronto. Requires 7 - 10 years of experience in data engineering with strong expertise in AWS, Python, SQL, PySpark, and Airflow.
About the role
- Data Engineering Specialist responsible for designing and maintaining cloud data integration processes for Cogeco Communications. Collaborating with analysts and architects to enhance data governance and quality.
Responsibilities
- Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for designing, developing, and maintaining data integration and transformation processes in our cloud-based data platform.
- Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files…etc.) into a cloud-based environment and move data around multiple systems based on the business needs and requirements.
- Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g. BigQuery or other cloud-based relational databases).
- Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access.
- Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation.
- Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies.
- Work closely with stakeholders to uphold best practices for data security, compliance, and privacy.
- Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness.
- Automate manual tasks using scripting languages (e.g., Bash, Python) and Enterprise scheduling/orchestration tools like Airflow.
- Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability.
- Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
- Provide subject matter expertise on cloud data services, data classification standards, and governance tools.
- Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals.
Requirements
- Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset.
- Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance.
- Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow.
- Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata.
- Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP).
- Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes.
- Hands-on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling.
- Strong analytical and problem-solving skills with the ability to work with unstructured datasets.
- Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures.
- Experience implementing governance best practices to ensure data security and regulatory compliance.
- Excellent communication and collaboration skills to partner effectively with cross-functional teams.
- Curiosity and a growth mindset, with the initiative to explore emerging data technologies.
- Bilingualism (written and spoken) is an asset to interface with stakeholders in Ontario and across the United-States.
- Bachelor’s degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience.
- 5 years of progressive experience in data engineering, data analytics, or a similar role.
- Proven track record in architecting, optimizing, and delivering enterprise-grade data solutions on a major cloud platform (AWS, Azure, or GCP).
Benefits
- Flexibility: Yes, we think that what you do matters. At work and at home.
- Fun: We laugh a lot, it makes every day brighter.
- Discounted services: We provide amazing services to our clients, and you’ll get them at home, because you deserve them.
- Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.
- Benefits: We’ve got you covered.
- Career Evolution: Join us and we will give you the tools to achieve your career goals!
- Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.
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