Data Engineer
This role will be a part of the growing onsemi Marketing team. The team is passionate about data, storytelling, and winning customers‘ hearts and minds. You’ll have the opportunity to work with a diverse set of global Marketers, Sales experts, and technologists. The onsemi Marketing team is committed to close collaboration, embracing new ideas, problem-solving, and being a solid functional partner for the business. Between us, we speak more than 15 languages, have lived, and worked across the globe, and love to swap stories about food, travel, and more. While we enjoy working hard, we also believe that work-life balance, time with family and friends, and personal well-being are essential.
Place of work: Bratislava or Piestany (job with occasional home office)
Working time: Flexible working hours (core time 9,30-15,00)
Salary: From 2 000 EUR, depends on candidate’s experience
Job description:
- Assemble large, complex sets of data that meet non-functional and functional business requirements.
- Collaborate with IT to identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Collaborate with IT to build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, Azure and SQL technologies.
- Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Work with stakeholders including the Executive, Product, Data and Design teams to support their data needs, while assisting with data-related technical issues.
Requirements:
- Bachelor’s degree in information system management, data engineering, data analytics, computer engineering, or related field.
- 2-5 years’ experience.
- Data warehouse experience including ETL (sustainable automation, data transformation, workload management, data structures, and dependencies).
- Expert proficiency in SQL, Python, and R.
- Proficiency with automating data through REST APIs.
- Understanding of web technology, marketing automation, and data visualization platforms.
Beneficial:
- Experience with data governance and data privacy laws.
- Ability to build and optimize big data sets, pipelines, and architectures.
- Ability to perform root cause analysis on processes and data to identify opportunities for improvement.
- Excellent analytic skills associated with working on unstructured datasets.
- Snowflake experience.
- Excellent project management and people communications skills.
- Excellent problem-solving skills.
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