Kategória: Munka, állás
Honlap:
Részletek...Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR PROJECT
Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.
YOU WILL
Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
Design, build, and enhance data pipelines with Python and cloud-native tools.
Work closely with solution architects to define and uphold best practices in data engineering.
Ensure data consistency, security, and scalability within cloud-based environments.
YOUR PROFILE
Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise.
Strong experience in Python for automation and data transformation.
Experience working with at least one major cloud platform (AWS, Azure, or GCP).
Strong communication skills and strong English language skills.
Nice to have:
Solid understanding of SQL with experience in query optimization and data modeling.
Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).
Experience with real-time data streaming technologies such as Kafka or Spark Streaming.
Knowledg
