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