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 principlesUtilize AWS services including Glue, Lambda, and Step Functions to implement and optimize ETL processes Build and optimize workflows with Snowflake for data warehousing and analyticsDevelop and maintain Snowflake stored procedures for data transformationImplement efficient data models and query patterns in SnowflakeCreate and optimize serverless data processing using AWS Lambda functionsOrchestrate complex data workflows using AWS Step FunctionsDesign and implement error handling and monitoring for data pipelinesWrite clean, maintainable code with comprehensive testingImplement CI/CD pipelines using GitHub Actions or AWS CodePipelineApply security best practices to protect sensitive data in transit and at restCollaborate with cross-functional teams to understand data requirements and deliver effective solutionsTroubleshoot and resolve performance issues in data pipelinesStay 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 environmentsAWS certifications (Developer, Data Analytics, or Solutions Architect)Experience with TerraformExperience with monitoring tools (CloudWatch, Datadog)Background in data governance and complianceFamiliarity with modern data stack tools like dbt and Dagster (for future initiatives)Experience migrating legacy data systems to cloud-native architecturesExperience in Integrations with SAPExperience in Model NExperience with Market AccessFamiliarity with additional Azure services such as Container Apps and Power AppsFamiliarity with data modeling and optimization techniquesExperience 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