Sr. Data Engineer

Job 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.

• 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 (

Keyskills :
autocad es design telecomequipmentdesign mysql management lifesciences kafka hubs java caseanalysis sql smes analytics