Sr. Data Engineer in Bangalore, India at Danaher

Date Posted: 6/22/2019

Job Snapshot

Job Description

Job ID: COR001441

About Us

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 (OPCOs) to monetize and commercialize the potential of emerging and disruptive digital trends such as AI, Machine Learning (ML), Big Data, IoT, Augmented Reality (AR), Cloud (SaaS/PaaS) and other Digital frontiers.  True to Danaher’s shared purpose of “Helping Realize Life’s potential”, we work alongside industry’s leading companies in large, diverse and growing markets segments – from industrials to environmental sciences to life sciences to medical diagnostics.


Description

Position Description 

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.  

As a senior member of the Data Engineering team, you will be called upon to guide other team members in technology and processes. You should be enthusiastic about learning new technologies and be able to craft solutions using them to provide new functionality to and value to our businesses. You will have excellent written and verbal communication skills as you will work very closely with diverse teams. You will work with a globally distributed Agile team in a fast-paced environment.
  
Responsibilities

  • Provide technical leadership on designing, implementing high-performance data processing pipelines and frameworks. Create and maintain optimal data pipeline architectures.
  • Assemble large, complex data sets that meet functional / non-functional business requirements, 
  • Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources, 
  • Launch new data ingestion, extraction, transformation and loading processes. Build key data sets to empower exploratory analysis and advanced analytics.  
  • Work 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.  
  • Write complex ETL processes and frameworks for analytics and data management
  • Serve as technical expert and mentor for core technologies in AWS/Azure data stacks.
  • Establish DataOps best practices and processes
  • 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.

Job Requirements



Qualifications

Requirements
  • 7+ year of demonstrated experience in developing highly scalable, reliable, and real-time data processing pipelines
  • 7+ years of experience in database schema design and SQL
  • 3+ years of experience in creating reports and dashboards in Tableau/PowerBI or similar frameworks. 
  • 5+ years hands-on experience of working in scalable and distributed data environments in AWS(preferred) or Azure: Kafka, Kinesis, Hadoop/Cassandra, Redis, RedShift, Azure Blob, Event Hubs or BigQuery
  • 5+ years of experience with a variety of data stores such as MongoDB, Cassandra, HBase, MySQL/Postgres
  • Strong familiarity and knowledge of industry best practices and processes in DataOps
  • Strong object-oriented programming experience in Java, Python, Ruby or similar.
  • Excellent understanding of best practices in data quality and quality engineering
  • 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.
  • Must have experience in Agile development methods.  
  • Willingness to travel (<10%) 


Danaher Corporation 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 (OPCOs) to monetize and commercialize the potential of emerging and disruptive digital trends such as AI, Machine Learning (ML), Big Data, IoT, Augmented Reality (AR), Cloud (SaaS/PaaS) and other Digital frontiers.  True to Danaher’s shared purpose of “Helping Realize Life’s potential”, we work alongside industry’s leading companies in large, diverse and growing markets segments – from industrials to environmental sciences to life sciences to medical diagnostics.

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