Data Engineer

 

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.

 

Data Engineer 

 

POSITION PURPOSE:

 

Design and deliver comprehensive technical data platforms providing reliable and consistent data to internal and external Bayer customers

 

YOUR TASKS AND RESPONSIBILITIES:

 

• Participate in design sessions with Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in for data processing, storage and delivery solutions.
• Participate in evaluation of new technologies or new languages including POCs.
• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders.
• Implement data solutions according to design documentation using a variety of tools and programming languages and following team’s established processes and methodologies, like SCRUM or Kanban.
• Investigate and resolve reported problems with data systems and/or the underlying data, following team’s established processes and methodologies.
• Participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery.
• Collaborate with other data engineers and data stewards within the team and across data, technical platforms and product teams on aligning delivery dates and integration efforts.
• Represent the team at various cross team meetings and events focused on design and planning sharing the results of team efforts, or  brainstorming on process improvements.
• Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or another repositories used by the team.

 

KEY WORKING RELATIONS:

 

• Reports to an Information Asset Lead or Lead Data Engineer
• Interacts with:

• Enterprise Data Stewards
• Data Engineers within the same Asset
• Data Engineers on other Asset teams
• Hub Data Stewards
• Product platform teams: Product Managers and Engineers
• Data Scientists in IT and Business units

 

 

 WHO YOU ARE:

 

• Bachelor’s degree Computer Science, Computer Engineering, or equivalent experience with 3+ years
• Demonstrated experience with at least one relevant programming language, such as Java or Python
• Experience participating in the build and support of data platforms, such as databases, data pipelines, data APIs or UIs
• Demonstrated understanding of data architecture and modeling, including designing both logical and physical models for datasets with Project Management.
• Exposure to writing queries and building data structures in relational databases and/or non-relational databases
• Strong interpersonal skills and desire to work in a highly collaborative environment
• Desired exposure to or experience with:

• Machine learning or other data science practices
• Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines
• Software development in a cloud environment such as AWS / GCP

 

 

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext. 

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”.

    YOUR APPLICATION      

Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.

 

      Location: India : Karnataka : Bangalore      Division: Crop Science     Reference Code: 812006          Contact Us   + 022-25311234