Company Overview
Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide. Our world class brands are leaders in some of the most demanding and attractive industries, including life sciences, medical diagnostics, dental, environmental and applied solutions. Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage. We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200% over 25 years.
At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries. We’re innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here you’ll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders. Come join our winning team.
Danaher is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.
Danaher Digital
Danaher Digital is our digital innovation, incubation and acceleration center where we’re bringing together the leading strategic product and business leaders, technologists and data scientists for the common purpose of accelerating development and commercialization of disruptive and transformative digital solutions into the marketplace. We accelerate Danaher’s digital innovation journey by partnering with Danaher operating companies to develop and commercialize emerging and disruptive digital technologies such as AI, Machine Learning (ML), Big Data, IoT, Augmented Reality (AR), Cloud (SaaS/PaaS) and other Digital frontiers. If you are driven to forge new disruptive and transformative digital apps, platforms and services by working with such cool and emerging technologies, you belong in Danaher Digital. As a member of Danaher Digital, you will help identify new product ideas and operating models, and then design, develop and deliver them. Working together with our operating companies, you will also help foster and support an entrepreneurial culture that will push Danaher to launch new software and data products better, and faster. To learn more about Danaher Digital and our team, please visit or visit .Position Description
As a Technical Lead for Data Engineering, you will join a team of skilled Data Scientists, Software engineers and Cloud Architects to drive Danaher’s Digital transformative initiatives in Data and Analytics (Machine Learning/AI) platforms and applications targeted at multiple industrial segments such as Life Sciences, Diagnostics, Industrial manufacturing and environmental sciences. You will lead a team of engineers tasked with building cloud-based data and analytics services to translate Danaher’s strategic vision in to technical reality.
You will be called upon to work collaboratively with our business stakeholders, Architects, Product Managers/Owners, to set goals for your team and guide them with hands-on technical expertise. You will not hesitate to get your hands dirty in technical implementations. You will bring your proficiency in Data Engineering, SQL/NoSQL database, analytics pipelines, SQL/NoSQL databases and detailed SW planning/execution acumen.
You will have the opportunity to build new teams and mentor them to become highly efficient in what they do and in on-time delivery of tasks. You will work with a globally distributed Agile team in a fast-paced environment.Responsibilities
Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide. Our world class brands are leaders in some of the most demanding and attractive industries, including life sciences, medical diagnostics, dental, environmental and applied solutions. Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage. We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200% over 25 years.
At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries. We’re innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here you’ll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders. Come join our winning team.
Danaher is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.
Danaher Digital
Danaher Digital is our digital innovation, incubation and acceleration center where we’re bringing together the leading strategic product and business leaders, technologists and data scientists for the common purpose of accelerating development and commercialization of disruptive and transformative digital solutions into the marketplace. We accelerate Danaher’s digital innovation journey by partnering with Danaher operating companies to develop and commercialize emerging and disruptive digital technologies such as AI, Machine Learning (ML), Big Data, IoT, Augmented Reality (AR), Cloud (SaaS/PaaS) and other Digital frontiers. If you are driven to forge new disruptive and transformative digital apps, platforms and services by working with such cool and emerging technologies, you belong in Danaher Digital. As a member of Danaher Digital, you will help identify new product ideas and operating models, and then design, develop and deliver them. Working together with our operating companies, you will also help foster and support an entrepreneurial culture that will push Danaher to launch new software and data products better, and faster. To learn more about Danaher Digital and our team, please visit or visit .Position Description
As a Technical Lead for Data Engineering, you will join a team of skilled Data Scientists, Software engineers and Cloud Architects to drive Danaher’s Digital transformative initiatives in Data and Analytics (Machine Learning/AI) platforms and applications targeted at multiple industrial segments such as Life Sciences, Diagnostics, Industrial manufacturing and environmental sciences. You will lead a team of engineers tasked with building cloud-based data and analytics services to translate Danaher’s strategic vision in to technical reality.
You will be called upon to work collaboratively with our business stakeholders, Architects, Product Managers/Owners, to set goals for your team and guide them with hands-on technical expertise. You will not hesitate to get your hands dirty in technical implementations. You will bring your proficiency in Data Engineering, SQL/NoSQL database, analytics pipelines, SQL/NoSQL databases and detailed SW planning/execution acumen.
You will have the opportunity to build new teams and mentor them to become highly efficient in what they do and in on-time delivery of tasks. You will work with a globally distributed Agile team in a fast-paced environment.Responsibilities
- Lead your team to develop and launch large scale data processing systems (data ingestion, extraction, transformation and loading processes; batch or streaming data) on AWS or Azure cloud with a keen focus on scalability, reliability, performance and reusability.
- Lead your team to translate Data & Analytics requirements in to short- and long-term implementation plans. Be comfortable with details and be hands-on to make sure the delivery expectations are met.
- Collaborate with our Data scientists to identify and build data pipelines and patterns that are relevant to advanced analytical model building and then curate, clean, wrangle and prepare data for efficient use at large scale.
- Interact with both business and technical stakeholders to deliver high quality products and services that meets/exceeds business customer, and technical requirements.
- Leverage your experience to evaluate new data technologies and build a scalable data engineering frameworks.
- Share in code and design reviews with agile team
- Integrate 3rdparty software components into existing software applications
- Work with geographically distributed teams while maintaining highest standards in collaboration and communication.
Requirements
- 10+ year of demonstrated experience in developing highly scalable, reliable, and real-time data processing pipelines in the context of developing, deploying and maintaining Machine Learning/Deep Learning solutions.
- 7+ years of demonstrated experience leading software product development teams in an Agile environment
- 7+ years of demonstrated experience with a variety of SQL and No-SQL data stores such as MongoDB, Cassandra, HBase, MySQL/Postgres
- 5+ years of demonstrated experience in developing reusable data pipelines for Data Platform using Python/Java/Scala on various frameworks (ex: Apache Spark) on AWS, Azure, or similar cloud platforms; Demonstrated experience in Data security aspects and implementation.
- 5+ year of experience in delivering highly resilient and performant APIs for various data access workloads. Deep expertise in microservices architecture and approaches such as API gateways, service meshes, tracing, and the data architecture necessary to serve effective APIs
- Ability to lead, define and set standards for Data Engineering tooling & standards to improve the overall productivity and quality of Data Engineering team.
- Familiarity with various tools such as Kubernetes, Docker and a keen mindset for automation and familiarity with DevOps tools.
- Strong familiarity and knowledge of industry best practices and processes in Data quality and Data security (DataOps)
- Experience in creating reports and dashboards in Tableau/PowerBI or similar frameworks.
- Ability to work with structured, semi-structured and unstructured datasets (timeseries data, image data, text data) uncovering information and identifying complex links across different data sets
- Experience with Docker and Kubernetes
- Ability to nurture/mentor others in the team. A can-do attitude in anticipating and resolving problems to help your team to achieve its goals.
- Excellent communication skills with direct team members as well as external teams and stakeholders.
- Must have experience in Agile development methods.
- You will be at an advantage if you have:
- Familiarity with and understanding of modern machine learning approaches, algorithms, libraries, and processes for feature selection / engineering
- Familiarity with frameworks for machine learning such as TensorFlow, Theano, Keras, Scikit-learn, Spark ML, CNTK, Matlab, Torch, Caffe, MXNet, H2O
- Willingness to travel (
Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The ‘EEO is the Law’ poster is available .
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