5 дней назад
Data Engineer (IoT)
9 090 200 - 16 881 800HUF
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (IoT) (SQL/Python): Analyze and interpret complex data sets for engineering teams while developing data architectures, ETL processes, pipelines, dashboards, and infrastructure automation with an accent on data integration, storage, and analytics. Focus on optimizing scalable data processes, ensuring data security and compliance, and building reporting solutions across relational databases, warehouses, lakes, and lakehouses.
Location: Onsite in the Budapest office at Graphisoft Park, Hungary
Annualized base pay: Ft9,090,200–Ft16,881,800 per year, plus potential bonus, equity, and benefits.
Company
A semiconductor technology company developing low-power wireless connectivity and embedded solutions for smart home, industrial IoT, and smart city applications.
What you will do
- Analyze and interpret complex data sets to provide insights for engineering teams.
- Design and work with data models, databases, warehouses, lakes, and lakehouses.
- Evaluate technologies for data storage, processing, and analytics.
- Oversee data integration, ETL processes, and data pipelines.
- Monitor performance, troubleshoot issues, and optimize data processes for scalability.
- Develop infrastructure-as-code and CI/CD automation using Jenkins.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 2–4 years of experience in data analysis.
- Technical proficiency in SQL and Python.
- Hands-on experience building reports and dashboards with Power BI, Superset, or similar tools.
- Experience with AWS Glue, Redshift, Athena or Trino, MSSQL Server, and PostgreSQL.
- Knowledge of relational databases and schema types such as star and snowflake schemas.
Nice to have
- Experience with machine-learning-related analysis projects.
- Understanding of automated test environments for hardware validation or software QA.
- Familiarity with DevOps, CI/CD, and infrastructure-as-code tools.
Culture & Benefits
- Collaborative work with software and hardware engineering teams across the company.
- Annual Budapest travel card or office garage parking.
- Cafeteria system, private healthcare, and life and accident insurance.
- Employment stock purchase plan and voluntary private pension fund contribution.
- AYCM card option, paid philanthropy days, and regular social activities.
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