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(0364) Sanofi-Aventis Groupe
Bridgewater, NJ | Full Time
11 Months Ago
Taleo BE
Bridgewater, NJ | Full Time
$128k-157k (estimate)
5 Days Ago
Sanofi Group
Bridgewater, NJ | Full Time
$130k-160k (estimate)
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PSG Global Solutions Careers
Bridgewater, NJ | Full Time
$122k-151k (estimate)
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Canyon Associates
Bridgewater, NJ | Full Time
$128k-157k (estimate)
3 Weeks Ago
Bright Vision Technologies
Bridgewater, NJ | Contractor
$105k-134k (estimate)
2 Months Ago
Data Engineer
Full Time | Investment Management 11 Months Ago
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(0364) Sanofi-Aventis Groupe is Hiring a Data Engineer Near Bridgewater, NJ

JOB OVERVIEW: We are looking for a Data Engineer to join our digital data team in the data architecture operation and governance team to build and operationalize data pipelines necessary for the enterprise data and analytics and insights initiatives, following industry standard practices and tools. The bulk of the work would be in building, managing, and optimizing data pipelines and then moving them effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. In addition, guarantee compliance with data governance and data security requirements while creating, improving, and operationalizing these integrated and reusable data pipelines. The data engineer will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes. RESPONSIBILITIES: Must work with business team to understand requirements, and translate them into technical needs Gather and organize large and complex data assets, perform relevant analysis Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation) Propose and implement relevant data models for each business cases Optimize data models and workflows Communicate results and findings in a structured way Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements Leverage existing or create new “standard pipelines” within Sanofi to bring value through business use cases Ensure best practices in data manipulation are enforced end-to-end Actively contribute to Data governance community BASIC QUALIFICATIONS: Bachelor’s Degree in Science, Engineering, or Information Management. 3 years working with data models and ETL functions Experience in the bio/pharmaceutical industry is a plus Fluent in English TECHNICAL SKILLS: Good knowledge of AWS/Cloud Computing (Knowledge of Azure or GCP a plus) Working knowledge of SQL and Python (Familiarity with other scripting languages a plus) Experience in ELT and ETL functions (via IICS, Databricks, Glue etc.) Good understanding of cloud database technologies Experience working with database models and query tuning SOFT SKILLS: Pragmatic and capable of solving complex issues Ability to understand business needs Good communication Push innovative solutions Service-oriented, flexible & team player Self-motivated, take initiative Attention to detail & technical intuition As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. All US based roles require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA PDN At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Investment Management

POST DATE

05/26/2022

EXPIRATION DATE

11/08/2022

HEADQUARTERS

PARIS, ILE-DE-FRANCE

SIZE

3,000 - 7,500

FOUNDED

1995

CEO

FLORENCE CAUVET

REVENUE

$3B - $5B

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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.

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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.

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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.

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Oil changes are an essential component of preventative maintenance.

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

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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.

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