Danaher Corporation Senior Digital Data Engineer in Bangalore, India
Senior Digital Data Engineer
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.
For additional company details, see www.danaher.com.
Danaher Digital is our digital innovation 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 (OPCOs) to monetize and commercialize the potential of emerging digital trends.
Located in Silicon Valley, the heart of global innovation, Danaher Digital is ideally situated to capitalize on the digital mega trends transforming our world, including IoT, Data, AI, cloud, mobile, Augmented Reality (AR), Blockchain and other Digital frontiers.
As a Senior Data Engineer, you will join a team of Data and Analytics engineers including Data Scientists, ML Engineers and platform engineers to drive Danaher’s transformative Digital initiatives in IoT, Data and Analytics (Machine Learning/AI) applications targeted at multiple industrial segments such as Life Sciences, Diagnostics, Industrial manufacturing and environmental sciences. You will bring a strong track record in design, implementation and management of large-scale data sets. You will work closely with our business stakeholders, Data SMEs, cloud infrastructure team and Data Scientists to ingest data, build data models and create data pipelines that will form the foundation for Data Scientists for advanced modeling or other business use case analysis. You will bring your proficiency in multiple SQL/NoSQL databases to build and manage large scale data systems. You will leverage open source technologies and cloud-based AWS/Azure tools to process massive amounts of data and make it available in an organized structure both for proof of concept and production systems.
Provide technical leadership on designing, implementing high-performance, scalable, modular and reusable data processing pipelines and frameworks for advanced data-driven solutions based on advanced-analytics.
Articulate strategy within teams, effectively communicate with cross-functional teams, articulate solutions and influence leadership.
Partner with architecture, datasec, data scientists, DevOps/ModelOps, and business leaders to establish a strong thought leadership and trust for delivering projects on time and with a high degree of quality.
As subject matter expert in all things data, define and implement solutions for ambiguous problems, promote best industry practices in pipeline monitoring, data validation, testing, etc.
Develop, deploy and support assembly of large, complex data sets with optimal data pipeline architectures using big data frameworks such as Apache Kafka, Spark, Airflow or equivalents. Launch new data ingestion, extraction, transformation and loading processes to build key data sets to empower exploratory analysis and advanced analytics.
Build visualizations to provide insights into the data & metrics using visualization tools such as Tableau/Power BI or AWS QuickSight.
Partner with Data Scientists and domain specific data experts and other stakeholders including Architects, Product Managers/owners to identify and support data processing needs including data ingestion, data preparation, data clean-up and data readiness for development and production needs.
Serve as technical expert and mentor for core technologies in AWS/Azure data stacks. Evaluate new data technologies to build a scalable data platform.
Share in code and design reviews with agile team
Work with geographically distributed teams while maintaining highest standards in collaboration and communication.
7+ years of proven experience in working with large scale data related stacks, technologies and tools
4+ years of experience in developing highly scalable, reliable, reusable and real-time data processing pipelines for variety of data sources and formats.
4+ years hands-on experience of working in scalable and distributed data environments in AWS or Azure: Kafka, Kinesis, Hadoop/Cassandra, Redis, RedShift, Azure Blob, Event Hubs or BigQuery
4+ years of experience in database schema design and SQL
4+ years of experience in building reusable data pipelines based on open source technologies such as Apache Spark/Airflow with Java/Scala; Must have experience in writing elegant, maintainable and testable code.
3+ years of demonstrated experience in Python for data processing tasks
3+ years of experience with a variety of data stores such as MongoDB, Cassandra, HBase, MySQL/Postgres
2+ years of experience in creating reports and dashboards in Tableau/PowerBI or similar frameworks.
Ability to lead, define and set standards for Data Engineering, tooling & standards to improve the overall productivity and quality of Data Engineering team
Ability to work with structured, semi-structured and unstructured datasets uncovering information and identifying complex links across different data sets
Demonstrated experience in designing and developing reusable code frameworks, libraries, and components.
Familiarity with various tools such as Kubernetes, Docker and a keen mindset for automation and familiarity with DevOps tools.
Must have experience in Agile development methods.
Willingness to travel (<10%)
Added advantage with the below :
Familiarity in Machine Learning toolkits such as scikit-learn/TensorFlow or Pytorch
When you join us, you’ll also be joining Danaher’s global organization, where 69,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) tools and the stability of a tested organization.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.If you’ve ever wondered what’s within you, there’s no better time to find out.