Managing end to end data pipelines to source and transform data to the Data & Analytics Platform(s).
Integrating new data sources (internal and external) by creating a full pipeline from ingestion to ETL process.
Delivering Data Provisioning to operational applications requiring transformation of data from several sources.
Optimizing and expanding the Data & Analytics platform data flows and data models, supporting the Data Scientists or Business Intelligence Manager in deploying analytics products.
Assessing the stability, robustness and efficiency of the implemented ETL processes and data pipelines and eventually re-design them.
Gathering requirements and writing technical specifications document.
Ensuring and monitoring high data quality standards with focus on data consistency.
Timely resolving incidents related to data interfaces and ETL processes.
Expanding the current Data & Analytics platform to embed "big data" capability by investigating and sharing best practices.
Unsere Erwartungen an dich
Ability to think beyond technology requirements to build ONE logical Data & Analytics platform.
Well structured, analytically thinking and demonstrating the ability to explain processes in a clear and understandable manner to a non-technical audience.
System management expertise with monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.
Excellent interpersonal communication and presentation skills.
Self-driven, flexible, open minded professional and proactive team player who ensures implementation towards agreed goals and timelines.
Ability to take ownership and proven strive for excellence.
Fluency in English.
3+ years of professional experience in Data Engineering, Business Analytics and related fields.
Excellent knowledge and proven professional experience with the SAS software suite, especially SAS Data Integration Studio and SAS Management Console and/or big data tools (Hadoop, Spark, Kafka, Alteryx, ) as well as cloud services and/or SAP BW (data warehouse).
Professional experience and conceptual knowledge of building and maintaining physical and logical data models.
Das ist dein Arbeitgeber
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