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- Build, enhance, and support robust data pipelines for large-scale data processing and transformation.
- Maintain and optimize cloud-based data lake environments with a focus on performance, reliability, and security.
- Work with modern data platforms and orchestration tools to support analytics and reporting use cases.
- Partner with analytics and business teams to deliver clean, well-structured datasets.
- Improve scalability and efficiency of big data workloads using distributed processing frameworks.
- Support and optimize NoSQL data stores used within the wider data ecosystem.
Required Skills & Experience
- Strong professional background in data engineering within Azure or AWS environments.
- Hands-on experience with Databricks, Delta Lake, Data Factory, and NoSQL databases.
- Proficiency in Python, SQL, or Scala for data processing and pipeline development.
- Solid understanding of ETL/ELT patterns, data modelling, and large-scale data processing concepts.
- Experience working with distributed processing technologies such as Apache Spark.
What We Offer
- Benefits include pension, healthcare, dental, and 25 days annual leave.
- Hybrid working model for flexibility. xcfaprz
- Opportunities for professional development and cutting-edge projects.
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Compétences linguistiques
- English
Avis aux utilisateurs
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