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Bus Intell Data Developer

 

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

 

Bus Intell Data Developer 

 

Position Overview:

As a Bus Intell Data Developer, you play a crucial role in developing, maintaining, and evaluating big data solutions across various functional and process content areas. You leverage data management best practices and innovative technologies to create stable, flexible, high-performing data and analytics products that reduce the lead time from data collection to insight generation. You assemble large, complex data sets into a format suitable for analysis using fit-for-purpose database technologies and design, build, and orchestrate ETL pipelines.

 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Business Intelligence Data Developer, are to:

 

  • Develop strategies to identify, acquire, and utilize appropriate data sets to support decision-making;
  • Define the strategy and engineering guidelines for major data platforms in collaboration with the data architect;
  • Implement efficient data access control mechanisms for various raw data sources in both on-premises and cloud environments;
  • Identify, design, and implement process improvements such as automating manual processes and optimizing data delivery;
  • Create and maintain optimal data pipeline architecture;
  • Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources using state-of-the-art technologies;
  • Architect, build, and manage a robust, scalable data pipeline in a hybrid-cloud environment to meet business requirements;
  • Establish and continuously improve sustainable, efficient, scalable data processes and applications;
  • Analyze large and complex data sets to gain insights and build suitable data models;
  • Assemble complex data sets into a format useful for analysis using fit-for-purpose database technologies;
  • Build services and tools to enhance data accessibility for all data consumers;
  • Ensure end-to-end pipeline orchestration and support the development of existing enterprise data analytics solutions.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

 

Required Qualifications:

 

  • Bachelor’s degree in computer science, management information systems, or a related discipline;
  • Experience in data architecture development, data asset management, data modeling, and linked data concepts;
  • Experience with distributed and NoSQL databases like Cassandra, HBase, MongoDB, Snowflake, and Object stores;
  • Proficiency in object-oriented scripting languages such as Python, Java, C++, or Scala;
  • Profound experience in information architecture, data science, and business intelligence;
  • Strong capability to manage implementation and maintenance of data architecture concepts and related platforms;
  • Ability to draw insights from structured and unstructured data.

Preferred Qualifications:

  • Knowledge of SQL dialects like T-SQL and PSQL;
  • Familiarity with big data technologies (Hadoop, Hive, HBase, Spark);
  • Competence in data systems design and data visualization techniques;
  • Ability to perform business domain analysis and business process modeling;
  • Knowledge of data pipeline and workflow management tools;
  • Understanding of cloud computing, version control systems, and basic network security;
  • Verbal and written communication skills with the ability to challenge and convince stakeholders involved in projects.

 

 

This posting will be available for application until at least April 11, 2025.

 

Employees can expect to be paid a salary between $103080.00 - 154620.00. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

  
YOUR APPLICATION 
  

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
 
Bayer is an Equal Opportunity Employer/Disabled/Veterans
 
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

 
  
Bayer is an E-Verify Employer. 
  
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
  
Location:United States : Residence Based : Residence Based    
Division:Crop Science   
Reference Code:842267   
 
 
Contact Us
  
Email:hrop_usa@bayer.com 
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Average salary estimate

$128850 / YEARLY (est.)
min
max
$103080K
$154620K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Bus Intell Data Developer, Bayer

At Bayer, we’re on a mission to turn the world’s biggest challenges into opportunities, and we want you to be part of this journey as a Bus Intell Data Developer in Tulsa, Oklahoma! In this crucial role, you’ll dive into the oceans of data to create and maintain high-performing analytics products that fuel decision-making across the organization. Picture this: you’ll be harnessing your skills in data management, ETL pipelines, and innovative technologies to convert large and complex data sets into insightful information that helps shape our future. It’s not just about the numbers; it's about redefining what's possible. You’ll collaborate with data architects, craft strategies for data acquisition, and implement mechanisms that optimize data access, ensuring that our insights are always faster and smarter. Plus, with your knowledge of NoSQL databases and proficiency in languages like Python or Java, you’ll build infrastructure that supports continuous improvements and automates manual processes. At Bayer, you’re not just another employee; you’re part of a community passionate about making a difference, and this job fits right into that vision. If you’re looking to grow your career in a place that celebrates diverse perspectives and innovative thinking, then this is your opportunity to shine!

Frequently Asked Questions (FAQs) for Bus Intell Data Developer Role at Bayer
What are the primary responsibilities of the Bus Intell Data Developer at Bayer?

As a Bus Intell Data Developer at Bayer, your responsibilities include developing strategies for data acquisition, engineering guidelines for data platforms, implementing efficient data access controls, automating processes, and optimizing data delivery. You will also create robust ETL pipelines, manage scalable data architecture, analyze complex data sets, and enhance data accessibility for all data consumers.

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What qualifications are needed for the Bus Intell Data Developer position at Bayer?

To qualify for the Bus Intell Data Developer role at Bayer, you should possess a Bachelor's degree in computer science or a related field, along with experience in data architecture, data modeling, and the management of distributed databases like Cassandra and Snowflake. Proficiency in scripting languages such as Python or Java and a strong background in information architecture and business intelligence are also essential.

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What skills will enhance my candidacy for the Bus Intell Data Developer role at Bayer?

If you're aiming for the Bus Intell Data Developer position at Bayer, skills in SQL dialects like T-SQL, experience with big data technologies such as Hadoop and Spark, and a solid understanding of data visualization techniques will definitely enhance your candidacy. Additionally, knowledge of cloud computing and version control systems is highly valuable.

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How does the Bus Intell Data Developer contribute to Bayer’s mission?

The Bus Intell Data Developer plays a critical role in Bayer’s mission by transforming data into actionable insights, thereby supporting strategic decision-making. By developing high-performing analytics products and optimizing data processes, you'll empower the organization to address health and environmental challenges effectively and efficiently.

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What is the compensation range for the Bus Intell Data Developer role at Bayer?

The salary range for the Bus Intell Data Developer position at Bayer is between $103,080 and $154,620, with additional potential for bonuses or commissions depending on your skills and experience. Bayer also offers comprehensive benefits, including healthcare, retirement plans, PTO, and more.

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Common Interview Questions for Bus Intell Data Developer
Can you describe your experience with ETL processes as a Bus Intell Data Developer?

When discussing your experience with ETL processes, focus on specific projects where you've designed and implemented data pipelines. Highlight your familiarity with relevant tools and technologies and explain how your ETL strategies improved the efficiency of data handling within your previous roles.

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What strategies do you use to optimize data access control in cloud environments?

Explain your approach to ensuring data security and regulatory compliance in cloud environments. Discuss any specific frameworks or tools you have employed and how they ensure that sensitive data remains accessible only to authorized users.

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How do you approach data modeling and architecture?

Describe your methodology for data modeling and architecture, including how you assess user needs, document data requirements, and ensure scalability and efficiency in your designs. Provide examples of data models you've created and how they supported business objectives.

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Can you give an example of a complex data set you've worked with and how you analyzed it?

During your answer, walk through a specific project where you dealt with a complex data set. Explain the analytical tools you utilized, how you handled data cleaning, and the insights you derived that drove decision-making.

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What programming languages are you proficient in and how have you applied them as a Bus Intell Data Developer?

List the programming languages you are proficient in, such as Python or Java, and provide tangible examples of how you’ve used them in data manipulation, building ETL processes, or developing applications that enhance data accessibility.

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How do you ensure the sustainability and scalability of your data processes?

Discuss your strategies for maintaining sustainable and scalable data processes, such as adopting automation, monitoring performance metrics, and implementing best practices that allow for growth without sacrificing efficiency.

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What challenges have you faced in data management and how did you overcome them?

Share specific challenges you’ve encountered, such as handling large volumes of data or integrating disparate data sources, and describe the solutions you implemented, emphasizing your problem-solving skills and adaptability.

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Describe your experience working in collaborative environments, such as with data architects.

Highlight examples of how you have successfully collaborated with stakeholders, such as data architects, to align data strategies that meet business needs. Discuss communication styles and tools that facilitated these partnerships.

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What tools are you familiar with for data visualization and business intelligence?

Enumerate specific tools you've used for data visualization, like Tableau or Power BI, and explain how your use of these tools has enhanced data storytelling and insight presentation in your previous projects.

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How do you keep up to date with the latest trends in data science and business intelligence?

Discuss the resources you use to stay informed on the latest trends in data science, such as webinars, online courses, or industry publications. Share any recent skills or knowledge you've acquired to showcase your commitment to professional development.

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Full-time, on-site
DATE POSTED
March 29, 2025

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