Senior / Staff Specialist - Data Engineer

2 weeks ago

Central Region, Singapore Infineon Technologies Full time $90,000 - $120,000 per year

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

In your new role you will:

  • Design, build and maintain scalable and secure infrastructure for data engineering workloads.
  • Develop and manage CI/CD pipelines for data pipelines and software deployment.
  • Collaborate with data engineers and data scientists to streamline data ingestion, processing, and storage.
  • Automate deployment, monitoring and alerting for data services.
  • Ensure system security, availability and performance across datapipelines and services.
  • Manage containerised environments using Docker and Kubernetes. Knowledge of Red Hat OpenShift is a plus.
  • Optimise data workflows and troubleshoot infrastructure or pipeline issues.
  • Monitor and maintain cloud resources and optimise costs.

You are best equipped for this task if you have:

  • Minimum Bachelor's degree in Computer Science, Engineering or related field.
  • 1-2 years of experience in DevOps, Data Engineering or similar roles.
  • Familiarity with DevOps, CI/CD, containerization and data orchestration concepts.
  • Experience with at least one major cloud services provider (Amazon/Azure/GCP).
  • Knowledge of modern data orchestration tools like Apache Airflow/Dagster/Prefect etc.
  • Knowledge of modern data transformation frameworks like DBT (DataBuild Tool) etc.
  • Solid understanding of Python and SQL.
  • Solid understanding of data warehouse and data lake architectures(e.g. Redshift, Snowflake, Databricks etc).

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