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Azure Senior Data Engineer Position for Capgemini

2 tygodni temu


Gdańsk, Pomerania, Polska Capgemini Polska Sp. z o.o. Pełny etat

Capgemini Polska Sp. z o.o. is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

About Capgemini

We are guided every day by our purpose of unleashing human energy through technology for an inclusive and sustainable future.

Our organization is responsible and diverse, with over 360,000 team members globally in more than 50 countries.

With our strong 55-year heritage and deep industry expertise, 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, we help our clients drive transformation tailored to their challenges of today and tomorrow.

Informed and validated by science and data, we superpower our solutions with creativity and design, all underpinned by technology created with purpose.

Job Description

As a Senior Data Engineer at Capgemini Polska Sp. z o.o., you will be part of a dynamic team that blends strategic, creative, and scientific capabilities to deliver cutting-edge solutions for our clients.

You will have the opportunity to work on high-profile projects, collaborating closely with clients and internal stakeholders to design and implement scalable, high-performance data pipelines on Microsoft Azure.

Your responsibilities will include leading the design and implementation of Azure-native data solutions, ensuring best practices in performance, security, and cost efficiency.

You will also be responsible for implementing data integration strategies using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks, as well as optimizing data storage and processing workflows leveraging Azure Data Lake, Azure SQL Database, and Cosmos DB.

Collaborating with data scientists, analysts, and business teams, you will ensure data availability, quality, and usability.

You will define and implement data security best practices, including RBAC, Azure AD authentication, and encryption techniques, and monitor, troubleshoot, and enhance data pipelines using Azure Monitor and Log Analytics.

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
Benefits
  • Practical benefits: private medical care, life insurance, and over 40 options on our NAIS benefit platform
  • Enjoy hybrid working model that fits your life
  • Early support thanks to Buddy Programs: learn in the flow of work alongside our experts
  • Access to over 70 training tracks with certification opportunities
  • Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings