Lead Data Engineer

In this role, you will have the opportunity to:

Working as a part of the Data & Analytics team, the primary role of the Sr. Data Engineer is to design, develop , deploy and support Cepheid Data by working with various Business Owners, IT, Security and Infrastructure team members. The individual is responsible to ensure the delivery of data pipelines are of good quality, on time, and through individual contribution as well as excellent facilitation and influencing skills.

• Responsible for the building, deployment, and maintenance of critical scalable Data Pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements.
• Work closely with SMEs, Data Modeler, Architects, Analysts and other team members on requirements to build scalable real time/near real time/batch data solutions.
• Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading into Data Lake/Cloud Data Warehouse/MPP (Snowflake/Redshift/similar Technologies) .
• Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed.
• Interacts with technical teams across Cepheid and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.

The essential requirements of the job include:

• Bachelor’s degree in the areas of Computer Science, Engineering, Information Systems, Business, or equivalent.
• 8+ years of experience in working with data solutions which includes experience building modern data architecture in AWS Cloud.
• Experience in designing and implementing data ingestion with real-time data streaming tools like Kafka, Kinesis or any similar tools and ETL/ELT tools experience using Lambda, Python, Matillion, dbt and other tools.
• Experience working with MPP databases such as Snowflake (Preferred) , Redshift or similar MPP databases and snowflake steams, tasks, stored procedures, Snowpipe, external tables(S3) and others.
• Working Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

It would be a plus if you also possess previous experience in:

• Good communication skills and ability to efficiently elaborate issues and risks to all partners and senior management.
• Experience working in a highly collaborative environment and promoting a collaboration-mentality to develop, deliver, operationalize, document, and support solutions.

When you join us, you’ll also be joining Danaher’s global organization, where 80,000 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 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.