This is an 18-months contract.
As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making. You will work closely with business and technical stakeholders to translate data requirements into robust data models, ETL pipelines, and BI dashboards, while ensuring data quality, security, and governance.
Responsibilities
- Design and maintain ETL pipelines and data models for large-scale datasets
- Analyze complex data and deliver insights through BI dashboards and reports
- Collaborate with stakeholders to translate business requirements into technical solutions
- Build and maintain CI/CD pipelines for data platforms
- Ensure data quality, security, and compliance
- Troubleshoot data issues and optimize pipeline performance
Requirements
- 5+ years of experience in data engineering and SQL.
- Strong knowledge or hands-on experience with big data technologies (e.g. Hadoop, Spark, Hive).
- Experience in coding using Python.
- Solid understanding of data warehousing, ETL design patterns, and data modeling
- Experience with cloud data platforms (e.g. GCP, BigQuery, AWS, Azure)
- Familiarity with BI tools (Tableau, Power BI, Looker)
