Data Engineer
6 days ago
- Practical experience with ETL tools such as Talend or Alteryx.
- Advanced SQL proficiency for data querying and processing.
- Experience in designing and implementing data models, particularly Data Vault.
- Hands-on experience with Snowflake.
- Knowledge of DataOps and DevOps processes, including CI/CD, GitLab, and DataOps.live.
- DBT experience is mandatory for data transformation.
- Experience in the financial sector.
Our client from the … sector (we'll share more details during the interview) is seeking a Data Engineer to join their team and have a real impact on product and company development from day one.
The project focuses on data processing, modeling, and analysis, as well as optimizing ETL processes to ensure high data quality and support business decision-making.
If you want to work with an experienced team and thrive in an environment where your ideas and initiative are highly valued, this role is for you
About UsWe are Square One. For 30 years, we've specialized in IT recruitment, and we know exactly what IT experts like you need. If you're looking for new challenges, aren't afraid of skill-building projects, and want to stay on the technological cutting edge—then you've come to the right place
,[ Creating, optimizing, and maintaining ETL pipelines and data transformation processes., Modeling and managing data following best practices, including Data Vault, FAIR principles, and Data Mesh., Implementing and maintaining cloud-based solutions using Snowflake., Ensuring high data quality and security by applying DataOps, CI/CD, and GitLab., Developing and documenting ETL processes, including integrating data from various sources.] Requirements: dbt, Snowflake, SQL, ETL, Alteryx, Python, Python, Tableau-
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