Data Engineer, Data Engineering and Artifical Intelligence
$71K-$134K (Glassdoor est.)
Job Description


Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Data Engineer in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Futureto people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.

As a Data Engineer working on the Data Engineering and AI team, a typical day will include:

POSITION OBJECTIVES:
Leads complex data analysis, uses and explores data, languages, tools and software to best construct data for predictive modelling, tests the model, trains data to deploy the modelling within a complex R&D, Medical, Mathematical environment and a large complexity of IT systems and data.
Manages and develops technical existing and new computer science platforms to design, to analyze and implement complex and new data driven solutions, with an impact on the IT Structure and Architecture.
Interprets and develops advance techniques in partly structured and unstructured big data across different partner organizations.
POSITION ACCOUNTABILITIES:
As a Data Engineer, you will be tasked with creating an ecosystem to have the right data, to ask the right question, at the right time.
Apply advanced techniques to complex problems in R&D and other organizations.
Work directly with the Data Science in R&D at Takeda along with other advanced analytics organizations across the company.
Apply advance techniques in structured, partly structured and unstructured data across different partner organizations.
Implement solutions for both big data and difficult to structure data sets.
Maintain up-to-data knowledge on modern data technologies, explores new platforms and beta tooling.
Independently use own judgement to identify data requirements and influences the design.
Influence new computer science platforms to design, analyze and implement complex and new data driven solutions that impact the company.
Provide leadership to complex data analysis, uses and explores data, languages, tools and software to best construct data for predictive modeling, tests the model, trains data to deploy the modeling within a complex R&D, Medical, Mathematical environment and a large complexity of IT systems and data.
EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

Required:
Bachelor’s Degree in Computer Science or equivalent
2+ years’ experience or relevant project / coursework
Up-to-date specialized knowledge of data wrangling, manipulation and management of technologies to affect change across business units.
Ability to manipulate voluminous data with different degree of structuring across disparate sources to build and communicate actionable insights for internal or external parties.
Possesses strong communication skills to portray information
Ability to work in an agile environment with high quality deliverables
Experience with two of the following languages: Java, Scala, or Python
Understanding of Web Services as well as JSON formats
Working knowledge of SQL and Relational Databases
Experience with at least one NoSQL datastore (Cassandra, MongoDB, Neo4J, …)
Experience with concepts of Hadoop and Spark
Preferred:
Additional Languages: Chef, R, Javascript
Experience with Multiple NoSQL datastores (Cassandra, MongoDB, Neo4J, …)
Experience with data formats including Parquet, ORC or AVRO
Understanding of AWS (S3, EC2, Redshift, EMR, Athena)
Experience with a Rapid UI tools: EX: Tableau
WHAT TAKEDA CAN OFFER YOU:
401(k) with company match and Annual Retirement Contribution Plan
Tuition reimbursement Company match of charitable contributions
Health & Wellness programs including onsite flu shots and health screenings
Generous time off for vacation and the option to purchase additional vacation days
Community Outreach Programs
Empowering Our People to Shine

Discover more at takedajobs.com

No Phone Calls or Recruiters Please.

#LI-JV1

Locations


Cambridge, MA

Worker Type


Employee

Worker Sub-Type


Regular

Time Type


Full time
Takeda Pharmaceuticals
3.7
Takeda Pharmaceuticals
