Beckman Coulter Life Sciences’ mission is to empower those seeking answers to life’s most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to
transform science and healthcare with the next groundbreaking discovery. As part of
our team of more than 2,900 associates across 130 countries, you’ll help drive our vision
of accelerating answers—and our commitment to excellence.
Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.
Do you want to work in Data Engineering/Data Science ? Do you enjoy solving complex business problems using data driven analytics models ? Then read on!
We are currently seeking a Data Engineer Manager-Supply Chain Planning who will be responsible for leading a dedicated Data Engineer team to support data engineering and data analytics needs for supply chain planning
In this role, you will be responsible for:
- Supports, develops and maintains data and analytics platform. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale.
- Develops reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages.
- Develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms and services for storing and process data (e.g. Data Lakes, Snowflake, SSIS, SSAS, Apache Spark, Hadoop others).
- Implements methods to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users.
- Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models
- Implements and automates deployment for ingesting and transforming data from various types of sources (relational, event-based, unstructured).
- Coach and develop a team of data engineers
The required qualifications for the job include:
- Bachelor’s with 7 years of experience or Master’s with 5 years of experience in Mathematics, Computer Science, Information Technology, Engineering or related field
- Strong hands-on knowledge and background in Oracle EBS or other ERP data models (particularly in Operations, Supply Chain modules.
- Ability to utilize expertise in Oracle EBS or other ERP processes and data models to understand user requirements, identify the tables involved, document and communicate those requirements to the development team
- 5-7 years of experience in Data Engineering, using SQL/PLSQL, SSIS, SSAS designing ETL, data model, data architecture, data warehouse
- 1 year of experience in leading or managing a team
- Experience with the concept and design of data schemas utilizing different cloud tools such as SnowFlake, Azure, AWS
- Familiar with co-solution development environment such as in Scala, Java or Python
- Familiar with creating reports and visualization using Oracle Analytics Cloud, Power BI or a similar BI tool.
It would be a plus if you also possess previous experience in:
- Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
- Big data process using Apache Spark or similar tools is preferred.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
