Über
Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements. Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities. Skills / Qualifications: 5+ years of experience with data engineering with emphasis on data analytics and reporting Experience developing with scripting languages such as Shell and Python Strong experience developing with PySpark, preferably leveraging AWS EMR managed service Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata) expert-level SQL abilities Experience with agile delivery methodologies Scrum, SAFe, Extreme Programming Experience working with source-code management tools such as GitHub and Jenkins Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions Additional preferences are: Experience developing solutions in Snowflake Experience with workload automation tools such as Airflow, Autosys. Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos) Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Wünschenswerte Fähigkeiten
- Github
- PySpark
- Python
- SQL
- Shell Scripting
- Tableau
Berufserfahrung
- Data Engineer
- Data Infrastructure
Sprachkenntnisse
- English
Hinweis für Nutzer
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