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Azure Data Engineering Expert
1 month ago
Our organization seeks a skilled data engineer to integrate and harmonize data from strategic platforms into our global data platform. The ideal candidate will design, develop, and maintain pipelines from source to harmonized layer and from harmonized layer to consumption layer for Power BI reporting.
The business domains covered in this project are commercial insurance pricing and underwriting.
- Developing new functionality within the Python-based ETL pipeline to ensure seamless data integration.
- Ongoing maintenance and optimization of existing pipelines to improve data quality and efficiency.
- Planning the capacity and sizing of service components, as well as proactively managing cloud components to ensure scalability and reliability.
- Initiating the planning and setup of new service components to meet evolving business needs.
- Coordinating the operations and maintenance of related software, complex server infrastructure, and databases (such as Synapse, Power BI, and local development environments).
- Maintaining service-related documentation in accordance with customer technology standards.
- Monitoring services and managing SLA performance to ensure high-quality data delivery.
- Documenting, maintaining, and optimizing processes and configurations related to the environments.
- Collaborating with various stakeholders, including development, architecture, rollout, and operations teams, as well as customers, to manage releases, upgrades, and changes.
Data engineers play a crucial role in building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
Why Choose Capgemini
At Capgemini, we empower our employees to shape their careers, supported by a collaborative community of colleagues worldwide. We strive to create a workplace where everyone can succeed and feel valued.
We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. Our purpose is to unleash human energy through technology for an inclusive and sustainable future.
As a responsible and diverse organization of over 360,000 team members globally, we are trusted by our clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.
Requirements:
- At least 5 years' experience in data engineering.
- At least 3 years' experience with data-oriented Python (Polars, Pandas, PySpark).
- At least 3 years' experience with Microsoft Azure, especially Synapse.
- Solid understanding of cloud architecture.
- Strong analytical skills.
- Strong customer focus.
- Ability to rapidly adapt and respond to changes in the environment and priorities.
- Advanced English is a must.
- Excellent communication skills with high customer focus.
- Desirable: Database knowledge, Power BI knowledge, experience in Bl Projects & DataVault 2.0.
Benefits:
- Yearly financial bonus.
- Private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms.
- Life insurance.
- Access to NAIS benefit platform.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform.
- Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
- Cutting-edge technology.
- Hybrid working model that fits your life.
