Data Analyst/Data Engineer
REMOTE
DURATION: Jun 2025 - Jun 2026 (with 24-month extension)
We are seeking a talented and versatile Data Analyst/Data Engineer to join our dynamic team. The ideal candidate will have a strong foundation in data engineering practices, combined with the analytical skills necessary to derive actionable insights from data.
This role involves designing, implementing, and maintaining robust data pipelines and architectures, as well as performing detailed data analysis to support business decisions.
Experience as a Data Analyst, Data Engineer
2+ years of experience with cloud platforms- 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 of experience with data marts, data warehousing, BI tools, etc
4+ years of experience working with querying data with Microsoft Transact-SQL Server.
2+ years of 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.
1 year of experience integrating DevOps practices to the development workflow using CI/CD best practices
1 year experience with data pipeline and workflow management tools such as Data Factory, API Management, Talend, etc.
1 year experience with object-oriented/object function scripting languages such as R, Python, Java, C++, Scala, etc.
1 year experience with the Ministry/Public sector IT infrastructure, business direction, strategies, shared service initiatives and/or applications
Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Power BI, SaaS VA)
Deploy data solutions in the cloud and with database tools (SQL, NoSQL)
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)
Bachelor degree in Computer Science, IT or related field of study.
