Required Skills

Education

Bachelor's degree in computer science, IT or related field of study.

Work Experience

Experience as a Data Analyst, Data Engineer or in a similar role.4 years

Duration Experience with cloud platforms, including AWS (EC2, S3, RDS), GCP (BigQuery, Cloud Storage), or Azure (Azure SQL Database, Blob Storage), with a focus on deploying scalable data solutions and optimizing data pipelines for a range of projects.2 years

Experience with data marts, data warehousing, BI tools, etc 2 years

Experience working with querying data with Microsoft Transact-SQL Server.4 years

Knowledge of ETL processes and tools, with hands-on experience designing and implementing data pipelines for transforming and loading data from multiple sources into data warehouses.2 years

Nice to Have

Work Experience

Experience integrating DevOps practices to the development workflow using CI / CD best practices1 years

Experience with data pipeline and workflow management tools such as Data Factory, API Management, Talend, etc.1 years

Experience with object-oriented / object function scripting languages such as R, Python, Java, C++, Scala, etc. 1 years

Experience with the IT infrastructure, business direction, strategies, shared service initiatives and / or applications1 years

Scope of Services

It is anticipated that the Data Analyst will be required for three (3) months; however, the Client may extend the contract for up to twelve (12) months on the same terms and conditions.

Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. However, the following must be delivered (iteratively) over the course of the project :

Data Engineering :

• Design, develop, and maintain scalable data pipelines to ingest, transform, and store large volumes of data both on-premises (SSIS etc.) and in the cloud (Azure, AWS, GCP)?
• Ensure data integrity, accuracy, and availability for analytical and operational use.?
• Collaborate with software engineers, data scientists, and business stakeholders to understand data requirements and implement solutions.?
• Optimize and improve existing data workflows and ETL processes.?
• Implement data governance and security best practices.?
• Manage data storage solutions, such as data lakes and data warehouses.?
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.?
• Deploy data solutions in the cloud and with database tools (SQL, NoSQL).?

Data Analytics :