Data Engineer/Sr. Data Engineer - Alta Petens
Company: Takeda Pharmaceutical
Location: Cherry Hill
Posted on: May 13, 2022
Job Description:
By clicking the "Apply" button, I understand that my employment
application process with Takeda will commence and that the
information I provide in my application will be processed in line
with Takeda's and . I further attest that all information I submit
in my employment application is true to the best of my
knowledge.Job DescriptionOBJECTIVES/PURPOSE:Takeda is advancing an
exciting product pipeline and wants to ensure that we have the
infrastructure and talent in place to support it. Our overall goal
is to get our therapeutics to patients safely and quickly via an
optimized operational model and integrated clinical data
pipeline.The Data Engineer will work directly with architects and
product owners on the delivery of data pipelines and platforms for
structured and unstructured data as part of a transformational data
program. This data program will include an integrated data flow
with end-to end control of data, internalization of numerous
systems and processes, broad enablement of automation and near-time
data access, efficient data review and query, and enablement of
disruptive technologies for next-generation trial designs and
insight derivation. - -As a Data Engineer you will:
- Provide leadership to -to develop and execute highly complex
and large-scale data structures and pipelines to organize, collect
and standardize data to generate insights and addresses reporting
needs.
- Interpret and integrate advanced techniques to ingest
structured and unstructured data across complex ecosystemDelivery &
Business Accountabilities:
- Build and maintain technical solutions required for optimal
ingestion, transformation, and loading of data from a wide variety
of data sources and large, complex data sets with a focus on
clinical and operational data
- Develop data profiling and data quality methodologies and embed
them into the processes involved in transforming data across the
systems.
- Manages and influences the data -pipeline and analysis
approaches, uses different technologies, big data preparations,
programming and loading as well as initial exploration in the
process of searching and finding data patterns.
- Uses data science input and requests, translates these from
data exploration - large record (billions) and unstructured data
sets - to mathematic algorithms and uses various tooling from
programming languages to new tools (artificial and machine
learning) to find data patterns, build and optimize models.
- Leads and implements ongoing tests in the search for solutions
in data modelling, collects and prepares the training of data,
tunes the data, optimizes algorithm implementations to test, scale,
and deploy future models.
- Conducts and facilitates analytical assessment conceptualizing
business needs and translates them into analytical
opportunities.
- Leads the development of technical roadmaps and approaches for
data analyses to find patterns, to design data models, to scale the
model to a managed production environment within the current or a
technical landscape to develop.
- Influences and manages data exploration from analysis to
scalable models, works independently and decides quickly on
transfers in complex data analysis and modelling.CORE ELEMENTS
RELATED TO THIS ROLE:
- Highly cross-functional role with broad scope of
responsibilities
- High visibility and critical impact on the future of the
businessDIMENSIONS AND ASPECTS:Technical/Functional (Line)
Expertise:
- Seasoned with in-depth knowledge of product management in
pharmaceutical industryLeadership:
- Inspire, motivate, and drive results
- Effectively communicate ideas and data verbally and in
writingDecision-making and Autonomy:
- Provide input to highly complex decisions that impact overall
R&D
- Seek input from multiple constituents and stakeholders to drive
innovative solutions
- Incorporate feedback and ensure decisions are implemented
swiftly to yield flawless execution -Interaction:
- Effectively negotiate and resolve conflicts in a constructive
manner
- Build strong relationships and collaborate effectively with
other interfacing Takeda functionsInnovation:
- Recommend, influence and implement organizational change and
innovation
- Identify opportunities and anticipate changes in the business
landscape through an understanding and ongoing assessment of the
environment affecting the business.
- Serve as a role model, demonstrating respect and inclusion,
creating a culture that fosters innovationComplexity:
- Navigate in a global ecosystem (internal and external) with a
high degree of complexity
- Recognize and understand broader, enterprise level perspective
-EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
- Bachelor's degree or higher in a quantitative discipline such
as Statistics, Mathematics, Engineering, Computer Science,
Econometrics or information sciences such as business analytics or
informatics
- 5+ years of experience working in data engineering role in an
enterprise environment
- Strong experience with ETL/ELT design and implementations in
the context of large, disparate and complex datasets
- Demonstrated experience with a variety of relational database
and data warehousing technology such as AWS Redshift, Athena, RDS,
BigQuery
- Demonstrated experience with big data processing systems and
distributed computing technology such as Databricks, Spark,
Sagemaker, Kafka, etc.
- Experience with developing solutions on cloud computing
services and infrastructure in the data and analytics space
- Solution-oriented enabler mindset
- Prior experience with Data Engineering projects and teams at an
Enterprise level#LI-KD1Absent an approved religious or medical
reason, all US office-based and lab-based Takeda employees who work
fully on-site or in a hybrid model (as determined by Takeda) must
be fully vaccinated to work at a Takeda site or to engage with
Takeda colleagues or anyone else on behalf of Takeda. US
field-based employees must be fully vaccinated as a condition of
employment, absent an approved religious or medical reason. US
employees who work at a Takeda manufacturing facility, and those
who work at a BioLife center or BioLife lab, may be subject to
different guidelines. If you are contacted by a Takeda recruiter
about your job application, we encourage you to seek more
information on the applicable guidelines for the Business
Unit/Function to which you have applied.This job posting excludes
CO applicants.EEO StatementTakeda is proud in its commitment to
creating a diverse workforce and providing equal employment
opportunities to all employees and applicants for employment
without regard to race, color, religion, sex, sexual orientation,
gender identity, gender expression, parental status, national
origin, age, disability, citizenship status, genetic information or
characteristics, marital status, status as a Vietnam era veteran,
special disabled veteran, or other protected veteran in accordance
with applicable federal, state and local laws, and any other
characteristic protected by law.LocationsCambridge, MAWorker
TypeEmployeeWorker Sub-TypeRegularTime TypeFull time
Keywords: Takeda Pharmaceutical, Cherry Hill , Data Engineer/Sr. Data Engineer - Alta Petens, Other , Cherry Hill, New Jersey
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