Offer summary

Qualifications:

Bachelor’s degree in computer science, Software Engineering, or a related field., Strong proficiency in AWS services including Glue, Lambda, and Step Functions., Advanced Python programming skills with emphasis on data processing., 3+ years of experience developing data pipelines in cloud environments..

Key responsibilities:

Design, develop, and maintain scalable data pipelines using modern cloud architecture principles.

Utilize AWS services to implement and optimize ETL processes and workflows.

Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.

Implement CI/CD pipelines and apply security best practices to protect sensitive data.

Job description

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.

Cloud Engineer

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Cloud Engineer are to:

Design, develop, and maintain scalable data pipelines using modern cloud architecture principles
Utilize AWS services including Glue, Lambda, and Step Functions to implement and optimize ETL processes
Build and optimize workflows with Snowflake for data warehousing and analytics
Develop and maintain Snowflake stored procedures for data transformation
Implement efficient data models and query patterns in Snowflake
Create and optimize serverless data processing using AWS Lambda functions
Orchestrate complex data workflows using AWS Step Functions
Design and implement error handling and monitoring for data pipelines
Write clean, maintainable code with comprehensive testing
Implement CI/CD pipelines using GitHub Actions or AWS CodePipeline
Apply security best practices to protect sensitive data in transit and at rest
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
Troubleshoot and resolve performance issues in data pipelines
Stay current with evolving cloud technologies and recommend improvements

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications

· Bachelor’s degree in computer science, Software Engineering, or a related field
· Strong proficiency in AWS services including Glue, Lambda, and Step Functions
· Experience with Snowflake development, stored procedures, and optimization
· Advanced Python programming skills with emphasis on data processing
· Proficiency with PySpark for large-scale data processing
· Experience implementing CI/CD pipelines with infrastructure as code
· Strong SQL skills for data transformation and analysis in Snowflake
· Experience with version control using Git/GitHub
· Excellent problem-solving skills and attention to detail
· Ability to work effectively in an agile environment

Preferred Qualifications:

3+ years of experience developing data pipelines in cloud environments
AWS certifications (Developer, Data Analytics, or Solutions Architect)
Experience with Terraform
Experience with monitoring tools (CloudWatch, Datadog)
Background in data governance and compliance
Familiarity with modern data stack tools like dbt and Dagster (for future initiatives)
Experience migrating legacy data systems to cloud-native architectures
Experience in Integrations with SAP
Experience in Model N
Experience with Market Access
Familiarity with additional Azure services such as Container Apps and Power Apps
Familiarity with data modeling and optimization techniques
Experience with real-time data streaming (Kinesis, Kafka)
Knowledge of container technologies (Docker, Kubernetes)

Employees can expect to be paid a salary of between $111328.80 - 166993.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other

relevant factors.

#LI

#LI-Remote

YOUR APPLICATION

If your background and personal experience fit this profile, please send us your complete application at www.career.bayer.cn If you have any recommendations, please kindly send mail to cnreferral@bayer.com

Location:

United States : New Jersey : Residence Based
United States : New Jersey : Whippany

Division:

Enabling Functions

Reference Code:

844975

Required profile