Insquare - Data Engineer
il y a 1 mois
As a Data Engineer, you will play a crucial role in designing, building, and maintaining the data infrastructure that powers our data-driven decision-making processes. You will collaborate with cross-functional teams to collect, store, and analyze data, enabling insights that drive innovation and growth.
Important note: Dutch on level C1 (CEFR) is necessary for this role
Applications that not meet this requirement, will not be taken into account.
Key responsibilities
- Data Pipeline Development: Design, develop, and maintain data pipelines, ETL processes, and data integration solutions to collect and transform data from various sources into usable formats.
- Database Management: Manage and optimize databases, ensuring data quality, availability, and performance. Experience with databases such as SQL, NoSQL, and columnar databases is a plus.
- Data Modeling: Create and maintain data models and schema designs to support analytics and reporting requirements.
- Data Transformation: Perform data cleansing, transformation, and enrichment to prepare data for analytical or operational use.
- Data Warehouse: Build and manage data warehouses or data lakes to store and organize large volumes of structured and unstructured data.
- ETL Tools: Utilize ETL (Extract, Transform, Load) tools and technologies to automate data workflows.
- Data Security: Implement data security measures to protect sensitive information and ensure compliance with data privacy regulations.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and deliver solutions to meet those needs.
- Documentation: Maintain clear and comprehensive documentation for data engineering processes and solutions.
- Performance Optimization: Continuously optimize data processing and Storage to enhance system performance and scalability.
Qualifications
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in programming languages like Python, Java, or Scala.
- Strong knowledge of SQL and database management systems.
- Experience with ETL tools and data integration processes.
Preferred qualifications
- Knowledge of the Azure Stack
- Databricks experience is a big plus
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with data governance and compliance standards.
- Certifications in relevant technologies.
We offer a very competitive salary, comprehensive benefits package, and many opportunities for both personal and professional growth and development.
If you are a motivated Data Engineer, please apply today.
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