Data Engineering Solutions Specialist
il y a 2 jours
Company Overview
About Exsolvæ: Exsolvæ is a Brussels-based consultancy that specializes in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Engineering, Advanced Analytics, and AI.
We are seeking a highly skilled Data Engineering Specialist with expertise in Azure technologies to join our expert team.
Your Role:
As a Data Engineering Specialist, you will design and implement cloud-native data solutions that enable clients to unlock the full potential of their data assets. You will collaborate with multidisciplinary teams, utilizing advanced Azure technologies to build scalable, efficient data pipelines, data models, and analytics workflows.
Key Responsibilities:
- Client Engagement: Collaborate with clients to assess their data needs and recommend Azure-based solutions to streamline data processing and storage.
- Data Ecosystem Implementation: Design and implement solutions leveraging Azure Synapse Analytics, Data Factory, Databricks, Data Lake Storage, and related tools.
- Pipeline Optimization: Develop and maintain robust ETL/ELT pipelines to ensure efficient data ingestion and transformation.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Languages: Written & Spoken Fluency in English AND French or Dutch.
- Seniority: 3-7 years of work experience.
- Experience: On-Premise AND Cloud hands on Data Engineering experience.
- Azure Expertise: Extensive experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, and Azure Databricks.
- Programming Skills: Proficiency in Python and SQL, with experience in big data tools like Apache Spark.
- Cloud Proficiency: Hands-on experience with Azure DevOps, CI/CD pipelines, and infrastructure as code tools (e.g., Terraform, Bicep).
- ETL/ELT Development: Demonstrated expertise in building and optimizing ETL/ELT pipelines for complex datasets.
- Soft Skills: Strong communication and collaboration skills to engage with clients and cross-functional teams.
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