Azure Senior Data Engineer @
10 hours ago
- 4+ years of experience in data engineering, with a strong focus on Microsoft Azure-based solutions.
- Expertise in Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- Strong programming skills in SQL and Python for data processing and transformation.
- Hands-on experience with data modeling, ETL pipelines, and data warehousing best practices.
- Proven experience in data security and access management, including RBAC, Azure AD authentication, and encryption techniques.
- Strong understanding of cost optimization and performance tuning in Azure cloud environments.
- Experience with Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
- Effective problem-solving and analytical skills with a proactive mindset.
- Excellent communication and leadership skills, with experience mentoring junior engineers.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
WHAT YOU'LL LOVE ABOUT WORKING HERE- Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to HO package (including laptop, monitor, and chair). Ask your recruiter about the details.
- Early support thanks to Buddy Programs: learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok — @capgeminipl.
ABOUT CAPGEMINICapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its 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.
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,[Architect, develop, and maintain scalable, high-performance data pipelines on Microsoft Azure., Lead the design and implementation of Azure-native data solutions, ensuring best practices in performance, security, and cost efficiency., Implement data integration strategies using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks., Optimize data storage and processing workflows leveraging Azure Data Lake, Azure SQL Database, and Cosmos DB., Collaborate with data scientists, analysts, and business teams to ensure data availability, quality, and usability., Define and implement data security best practices, including RBAC, Azure AD authentication, and encryption techniques., Monitor, troubleshoot, and enhance data pipelines using Azure Monitor and Log Analytics., Stay ahead of emerging Azure technologies and advocate for innovative solutions to improve data engineering workflows., Mentor junior engineers, promote knowledge sharing, and contribute to a culture of excellence in Azure data engineering.] Requirements: Data engineering, Azure Data Factory, Azure Synapse Analytics, Azure Data, Azure Databricks, SQL, Python, ETL, Security, RBAC, Azure AD, Azure, Cloud, Infrastructure as Code, Terraform, Bicep, ARM, Analytical skills Additionally: Pluralsight, TED Talks, Coursera, Udemy Business, SAP Learning HUB, Flexible working hours, Integration events.-
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