Data Engineer II, Davengers

Amazon; Graz; Vor Ort; EUR 50 000 - 80 000; Vollzeit

Zusammenfassung

A leading company is seeking a data engineer in Graz to design and support analytical data infrastructure for business intelligence and machine learning. The successful candidate will manage AWS resources, collaborate with teams for data integration, and improve reporting processes. Candidates should have extensive experience in data engineering, SQL, and AWS technologies.

Qualifikationen

• 3+ years of data engineering experience.
• 4+ years of SQL experience.
• Experience with non-relational databases.

Aufgaben

• Design and implement analytical data infrastructure.
• Manage AWS resources for data processing.
• Collaborate on building data pipelines for machine learning.

Kenntnisse

Data modeling

ETL pipeline development

SQL

Machine learning

Data integrity

Tools

AWS Redshift

AWS EMR

AWS S3

AWS Glue

AWS Kinesis

AWS Lambda

Jobbeschreibung

As a data engineer at AEE, you will:

• Design, implement, and support an analytical data infrastructure serving both business intelligence and machine learning applications.
• Manage AWS resources including EC2, Redshift, EMR, Spark, etc.
• Collaborate with applied scientists to integrate and build data pipelines for machine learning models.
• Work with Product Managers, Financial, and Business Analysts to ensure best practices in reporting and analysis, including data integrity, testing, validation, and documentation.
• Interface with technology teams to extract, transform, and load data from various sources using SQL and AWS big data tools.
• Explore and adopt the latest AWS technologies to enhance capabilities and efficiency.
• Collaborate on implementing advanced analytics algorithms for statistical analysis, prediction, clustering, and machine learning.
• Improve reporting and analysis processes, automating or simplifying self-service support for customers.

Qualifications include:

• 3+ years of data engineering experience.
• 4+ years of SQL experience.
• Experience with data modeling, warehousing, and ETL pipeline development.
• Proficiency with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles.
• Experience with non-relational databases and data stores such as object storage, document stores, graph databases, or column-family stores.

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