Solver - Data Engineering Specialist
il y a 2 semaines
About Exsolvæ:
Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize 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.
At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions.
We are seeking a Data Engineering Specialist with expertise in Azure technologies to join our expert team.
Your Role:
As a Data Engineering Specialist with a focus on Azure, 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.
What We're Looking For:
Required Skills and Qualifications
- Educational Background: 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.
Preferred Skills
- Familiarity with MLOps pipelines and integration with Azure Machine Learning.
- Knowledge of Power BI for creating interactive dashboards and visualizations.
- Microsoft Certified: Azure Data Engineer Associate or equivalent certifications.
What You'll Do:
Core Expertise
- 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.
Technical Implementation
- Data Modeling and Warehousing: Design and optimize scalable data models and data warehousing solutions using Azure SQL and Synapse Analytics.
- Big Data Integration: Work with big data tools like Apache Spark within Azure environments to manage and process large datasets.
- Cloud Deployment: Implement and manage data solutions on Azure with an emphasis on security, scalability, and performance.
- Microsoft Fabric: Utilize Microsoft Fabric to integrate and optimize analytics workflows for seamless data experiences.
Research and Innovation
- Stay updated on advancements in Azure technologies, big data tools, and Microsoft Fabric.
- Explore innovative methodologies to enhance the efficiency and security of data engineering practices.
Project Management
- Lead Azure-based projects from design to deployment, ensuring alignment with client objectives and timely delivery.
- Collaborate with cross-functional teams, including Data Scientists and Solution Architects, to implement end-to-end data solutions.
Training and Support
- Conduct workshops to empower client teams in adopting and managing Azure-based data platforms.
- Provide ongoing support to ensure the scalability and performance of deployed systems.
Why Join Us?
- Impactful Projects: Engage in transformative Azure-based data initiatives across industries like finance, healthcare, and manufacturing.
- Continuous Learning: Access the latest tools, certifications, and training opportunities to remain at the cutting edge of Azure technologies.
- Collaborative Culture: Be part of a team that values collective intelligence and mutual support.
- Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration.
- Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits.
Apply Today, if you are a driven professional with a passion for Azure technologies and a keen interest in leveraging Microsoft Fabric to revolutionize data solutions, we'd love to hear from you
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