Engineer II, Algorithm

We Are The People Who Give Possibilities Purpose

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of Med Tech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you'll be supported to learn, grow and become your best self. Become a maker of possible with us.

Expand and optimize data ingestion, storage and analytical platform within the company's R&D organization. Design and implement data warehouse solutions using cloud services. Build highly scalable cloud based analytical solutions. Design, build and maintain modern data warehouse schematics, data pipelines and data streams. Design and develop ETL code for integrating large datasets into the cloud platform from various data sources. Automate ETL processes, optimize data delivery, re-designing data warehouse for greater scalability.

Design and implement audit processes for data ingestion and access.

Qualifications:

Master's degree in Computer Science, Information Systems, Engineering (any) or related field of study and three (3) years of work experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master's degree in Computer Science, Information Systems, Engineering (any) or related field of study and three (3) years of work experience in the job offered or related occupation in which the required experience was gained, employer will also accept a Bachelor's degree in Computer Science, Information Systems, Engineering (any) or related field of study and five (5) years of work experience in the job offered or related occupation in which the required experience was gained.

Must also have demonstrated experience in the following: AWS, Azure or GCP;
Applying best practices of schema design and storage solutions utilizing various the following types of database/file systems:
Relational (Oracle, SQL Server, Postgresql, Redshift, Synapse, or Snowflake), and Data Lakes;
Building processes supporting data transformations, data structures, dependencies and workload management; SQL analytic skills related to working with structured and unstructured datasets; SQL and ETL experience working with relational databases;
Building and optimizing 'Big data' pipelines, Architectures and Data sets;
Manipulating, processing and extracting value from disconnected datasets;
Utilizing one of the following: AWS Redshift, Azure Synapse, AWS, Azure Cloud Services, Oracle, SQL Server or Postgres;
Utilizing one of the following ETL tools:
Azure DF, Informatica, Matillion or Pentaho; and Using at least one scripting language (Linux, Perl, Python or Matlab) for prototyping, testing and validation of data for algorithms.

Salary offered for the position is: $ - $/year.

Primary

Work Location:

17200 Laguna Canyon Road, Irvine, CA 92618

Additional Locations: N/A

Work Shift:

Not Specified

A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It's also a place where we help each other be great, we do what's right, we hold each other accountable, and learn and improve every day.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place.

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.