Data Engineer IoT
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 worlds 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.
The Opportunity
IoT Infrastructure Software is looking for a Senior Data Engineer for our Infrastructure Software this role you will analyze and interpret complex data sets to provide insights to engineering teams. The ideal candidate must haveat leastsome 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 wed 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.
- Support development of data strategies aligned with business objectives and future growth plans
- Collaborating with stakeholders to gather data requirements and define data standards and governance policies
- 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.
- Developing and deploying Infrastructure-As-Code and CI/CD automation (Jenkins).
Minimum Qualifications
- Bachelors degree incomputer 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
