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Insight Global
Insight Global
Basking Ridge, NJ | Full Time
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Incedo
Basking Ridge, NJ | Full Time
$126k-157k (estimate)
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Daiichi Sankyo US
Basking Ridge, NJ | Full Time
$128k-158k (estimate)
2 Months Ago
OneTen
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ExcelaCom
Basking Ridge, NJ | Full Time
$128k-158k (estimate)
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WAYUP
Basking Ridge, NJ | Part Time
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Data Engineer
Daiichi Sankyo US Basking Ridge, NJ
$128k-158k (estimate)
Full Time 2 Months Ago
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Daiichi Sankyo US is Hiring a Data Engineer Near Basking Ridge, NJ

Join a Legacy of Innovation 110 Years and Counting!Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.
Job SummaryData Engineer will partner with business stakeholders and decision makers to develop solutions to support their analytical needs and business insights. This role will be responsible for designing, developing, and maintaining our company's data architecture, data pipelines, and infrastructure to ensure the effective management, analysis, and utilization of data. This role will collaborate with IT, sourcing partners, data stewards, and business to ensure data integrity, and data security in accordance with business requirements and provide technical and data subject matter expertise where required.
Responsibilities
  • Develop and maintain our company's data infrastructure architecture, including data warehouses and data lakes, to support efficient and effective data management and analysis. Build and maintain robust, scalable, and high-performance data pipelines to extract, transform, and load data from various sources into our data platforms.
  • Develop, manage, and be accountable for the onboarding of new data source, data blending and integration of multiple data sources, building new reports and dashboards, enhancements of existing processes supporting both Commercial and RD functions. Responsible for managing quality of the deliverables
  • Serve as point of contact for implementation of complex data projects and development of data management technologies. Provide technical expertise and subject matter expertise. Provide risk analysis, business and technical assessment of requests in relation to data platforms.
  • Continuously evaluate new data technologies, tools, and platforms to improve data processing, storage, and analysis capabilities. Optimize and tune data infrastructure and systems for performance, reliability, and scalability.
  • Collaborate with cross-functional teams, including data analysts, data scientists, data stewards and software engineers to ensure data quality, integrity, accuracy, consistency and security across systems and applications.
Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
Education Qualifications (from An Accredited College Or University)
  • Bachelor's Degree Bachelor's degree in fields such as Computer Science or Information Technology required Experience Qualifications
  • 4 or More Years 4 or More Years of hands-on experience in applications development, Business Intelligence, and advanced analytics with emphasis on Microsoft Azure suite required
  • 4 or More Years 4 or more years of hands-on experience with enterprise data warehouse solutions including integration of complex data sources for the deployment of decision support systems required
  • 1 or More Years Experience with commercial pharmaceutical / business information, Supply Chain, Finance and HR preferred
  • 1 or More Years Experience with Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, Discovery Data etc. preferred
  • 1 or More Years Familiarity with and understanding of key industry best practices in regulated “GXP” environment preferred
  • Ability to travel up to 5%
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Summary

JOB TYPE

Full Time

SALARY

$128k-158k (estimate)

POST DATE

05/31/2024

EXPIRATION DATE

07/25/2024

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The job skills required for Data Engineer include Data Warehouse, Computer Science, Analysis, Data Quality, Data Processing, Data Infrastructure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

Butler University
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