- Location
- Budapest, Hungary
- Type
- Full-time
- Department
- Engineering
- Experience
- 2+ years
- Source
- Workday
Description
Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.
The Opportunity
IoT Infrastructure Software is looking for a Data Engineer for our Infrastructure Software team. In this role, you will analyze and interpret complex data sets to provide insights to engineering teams. The ideal candidate must have at least some years of experience in data analysis and be able to work independently and collaboratively.
Meet the Team
The Silicon Labs Internet of Things (IoT) Infrastructure Software team is an elite group of software engineers focused on developing internal tools and frameworks. Our team has a deep understanding of all aspects of semiconductor software development, including embedded, object-oriented applications, database, and web analytics.
Is this a great match for you? If you have an interest in the intersection of software with hardware products, we’d love to talk to you! We seek candidates that have an aptitude and interest in working with a wide variety of software technologies and who seek to collaborate with teams throughout the company.
What you will need to know?
Good understanding of data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses.
Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics
Overseeing data integration, ETL processes, and data pipelines to ensure efficient data movement and transformation
Ensuring data security, privacy, and compliance with regulatory requirements
Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability.
Writing code in SQL and Python.
Experience with data visualization platforms such as Power BI, Grafana, or Tableau is essential for this role
Developing and deploying Infrastructure-As-Code and CI/CD automation (Jenkins).
Minimum Qualifications
Bachelor’s degree in computer science, Statistics or Mathematics or related field.
2-4 years experience in data analysis.
Technical proficiency in SQL and Python
Hands on experience building reports and dashboards with tools such as Power BI and Superset. Hands on experience with glue, redshift.
Strong knowledge of how relational databases work and various schema types – such as STAR or Snowflake.
Experience writing queries for MSSQL server, Postgres, Redshift and AWS Athena or Trino.
Exposure to analysis using machine learning related projects is a plus. Ability to work independently and collaboratively in a team environment
Qualifications Considered a Plus
Understanding of automated test environments for hardware validation or software QA
Familiarity with DevOps tools for CI/CD and infrastructure-as-code
Budapest Perks & Benefits
You would be working from our office in Budapest, in Graphisoft Park, next to the riverbank of the Danube.
We also offer:
Annual Budapest travel card or parking in the office garage
Great cafeteria system
Opportunity to join Employment Stock Purchase Plan
Private health care access
Life and accident insurance for every employee
Contribution to a voluntary private pension fund
AYCM card option
Paid days for philanthropy
We prioritize the time for social activities, competitions, after work dinners and so much more!
Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.
