Jobdescription
Are you a talented Data Engineer with a passion forbuilding robust, scalable data solutions? Do you have a provenbackground with SQL and AWS services?
Join Randstad DigitalSwitzerland, the Digital Engagement Partner. We are lookingfor a skilled professional to design, implement, and maintainadvanced ETL pipelines and data infrastructures using cutting-edgeAWS services, SQL and Snowflake.
If you’re ready to take onexciting data challenges, this role is foryou!
KeyResponsibilities :
Develop and optimize complexSQL queries in AWS Athena and Snowflake, focusing on star andsnowflake schema designs.
Design and manageETL pipelines using AWS services (Glue, Lambda, Step Functions) andSnowflake to transform and load data into fact and dimensiontables.
Create and maintain data models tosupport business intelligence and reportingneeds.
Build scalable data ingestion pipelines inAWS Data Lake and set up Lake Formation for cross-account datasharing.
Implement data quality checks and alertsystems using AWS services and customsolutions.
Utilize Infrastructure as Code (IaC)tools like AWS CloudFormation or Terraform for provisioning andmanaging AWS resources.
Establish and maintainCI / CD pipelines for automated testing, versioning, and deploymentof data solutions.
Ensure data privacy,compliance, and security by configuring AWS IAM and LakeFormation.
Monitor data pipelines andinfrastructure using AWS CloudWatch and relevanttools.
What YouBring :
Bachelor’s or master’s degree in atechnical field.
5+ years of experience in dataengineering or a similar role.
Expertise in AWSservices (Lambda, Step Functions, S3, Athena, Glue, Lake Formation,CloudFormation).
Advanced SQL skills for complexdata transformation and analysis.
Proficiency inPython.
Experience with mainstream dataintegration / ETL platforms.
Knowledge of CI / CDtools and DevOps practices.
Ideally, you willalso have AWS or Snowflakecertifications.
Join us at Randstad DigitalSwitzerland and be part of a dynamic team driving data innovation.Apply now to elevate your career in data engineering!
You can be based in Switzerland or work fullyremote : that is up to you.