Data Engineer

Job Description

Database and server administration including, but not limited to developing data pipelines for data extraction, transformation, and integration, as well as their respective storage, in a robust and sustainable architecture. Provides technical assistance and troubleshooting support of server and database - related topics.

Primary Duties and Accountabilities

• Role will be responsible for core data ETL across the organization.

• Use SQL to extract custom data sets from enterprise-wide data lakes, deploy them as data cubes which can be accessed via spreadsheets, Power BI or other analytical platforms.

• Effectively engage with multiple stakeholders across manufacturing, technical functions, controlling and IT teams.

• Clean and transform extracted data by handling missing values and inconsistencies,

• Perform data aggregation, analysis, and transformation using statistical methods and data manipulation tools.

• Ensure data integrity and security.

• Collaborate with database administrators and engineers to optimize data storage and access.

• Actively seek standardization and automation, apply, and implement best practices across finance functions to streamline the entire analytics process.

Qualifications

Basic Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Electric Engineering, other Engineering discipline or foreign equivalent
• 3+ years of experience with building data pipelines within a Cloud or Cloud-hybrid setup; in-depth understanding of relational database systems (e.g. Oracle, MS SQLServer).
• 3+ years of experience with distributed computing frameworks (e.g. k8s, Spark)
• 3+ years of experience in object-oriented software development, (e.g. Python, Java, or Go).
• 2+ years of experience with Linux.

Preferred:

• Education: successfully completed Master's degree in Computer Science or other engineering discipline

• Experience with recent non-relational storage technologies (NoSQL and distributed)

• Experience with workflow automation tools (e.g. Jenkins, Ansible)

• Experience with Nexeed MES Platform

• Experience with various messaging systems (e.g. Kafka)

• Experience in designing data models and choice of respective data formats

• Experience with in-vehicle data collection skills, structured and analytical connectivity