
Azure Data Engineer
Capgemini Polska•Warszawa
💰 Wynagrodzenie
Widełki nieujawnione
📋 Informacje
🛠 Wymagane technologie
🌐 Wymagane języki
📝 Twój zakres obowiązków
Your responsibilities, Design and implement Azure-based data solutions for large-scale and unstructured datasets., Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake., Collaborate with solution architects to define and implement best practices in data engineering., Ensure data quality, scalability, and security across all Azure-based solutions.
Strong experience in data engineering, including working with Azure, Strong Python for data processing and automation., Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric., Strong communication skills and very good English language skills.
Optional, Strong SQL skills and experience with database optimization., Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep)., Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions., Exposure to containerization (Docker, Kubernetes) and cloud security best practices., Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming., Hands-on experience with PySpark., Certifications such as DP-900, DP-203, AZ-204, or AZ-400.
What we offer, Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;, Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB, Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.
Benefits, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives, access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist
Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision
Capgemini Polska , Capgemini 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.
This is how we work,
About the project
YOUR TEAM
Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board!
📝 Opis główny / Wstęp
About the project
YOUR TEAM
Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board!
Your responsibilities
- Design and implement Azure-based data solutions for large-scale and unstructured datasets.
- Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
- Collaborate with solution architects to define and implement best practices in data engineering.
- Ensure data quality, scalability, and security across all Azure-based solutions.
Recruitment stages
- Interview with the recruiter
- Competency Tests/Language Verification
- Video call with a manager
- Final Decision
🎁 Co oferujemy (Dodatkowe detale)
Benefits, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives, access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist
Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision
Capgemini Polska , Capgemini 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.
This is how we work,
About the project
YOUR TEAM
Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board!