Specialist, Data Engineering

· Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, Postgre

SQL, flat files…etc.) into a cloud-based environment and move data around multiple system 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. Big Query or other cloud-based relational databases).
· Automate manual tasks using scripting languages (e.g., Bash, Python) and
· Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
· Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset.
· Strong understanding of RDBMS (Postgre

SQL, 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.
· 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.
· 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.
#J-18808-Ljbffr