17 часов назад
Senior Engineer, Technology II (Data Engineering & Architecture)
109 500 - 208 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, Technology II (Data Engineering & Architecture) (AWS/Data Engineering): Designing and implementing cloud-native lakehouse solutions, data pipelines, and Supply Chain data products with an accent on Apache Iceberg, AWS Redshift, Medallion Architecture, and data mesh principles. Focus on translating SAP and planning-system data into governed analytics-ready products, optimizing large-scale transformations, and leading delivery across technical and business stakeholders.
Location: North Chicago, Illinois, United States
Salary: $109,500–$208,500 per year
Company
develops medicines and solutions for serious health issues across immunology, oncology, neuroscience, and aesthetics.
What you will do
- Design and oversee legacy ETL and cloud-native data ingestion frameworks and end-to-end pipelines using AWS Glue, Amazon S3, AWS EMR, AWS Lambda, and Informatica.
- Architect Supply Chain analytics solutions using Apache Iceberg, lakehouse patterns, and Medallion Architecture.
- Build, optimize, and maintain AWS Redshift data warehouse solutions and data products.
- Define Data Product-centric architecture and data mesh standards for ownership, discoverability, interoperability, and analytics use cases.
- Model data flows from SAP and planning systems and convert complex ERP structures into governed, analytics-ready products.
- Lead and supervise a technical data engineering team while remaining accountable for delivery and performance.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field with 7+ years of experience; equivalent Master’s or PhD pathways are accepted.
- Hands-on expertise with AWS Glue, Amazon S3, AWS EMR, AWS Redshift, and related ingestion and transformation technologies.
- Experience with Apache Iceberg or similar lakehouse technologies, Medallion Architecture, Data Product frameworks, and data mesh principles.
- Supply Chain ERP experience, specifically SAP, plus familiarity with Blue Yonder planning domains and data models.
- Strong ETL, SQL, Python, Apache Spark, and PySpark skills for large-scale transformation and pipeline development.
- Knowledge of data governance, Alation or AWS Glue Data Catalog, metadata, lineage, data quality, and enterprise controls.
Nice to have
- Knowledge of Power BI or similar reporting tools.
Culture & Benefits
- Benefits may include paid vacation, holidays, sick leave, and medical, dental, and vision insurance.
- Eligible employees may receive 401(k) benefits and participate in long-term incentive programs.
- Work in a regulated enterprise environment focused on engineering excellence and continuous improvement.
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