Data Engineer - AWS - SQL - Remote
Are you a talented Data Engineer with a passion for building robust, scalable data solutions? Do you have a proven background with SQL and AWS services? Join Randstad Digital Switzerland, the Digital Engagement Partner. We are looking for a skilled professional to design, implement, and maintain advanced ETL pipelines and data infrastructures using cutting-edge AWS services, SQL and Snowflake. If you're ready to take on exciting data challenges, this role is for you!
Key Responsibilities:
Develop and optimize complex SQL queries in AWS Athena and Snowflake, focusing on star and snowflake schema designs.
Design and manage ETL pipelines using AWS services (Glue, Lambda, Step Functions) and Snowflake to transform and load data into fact and dimension tables.
Create and maintain data models to support business intelligence and reporting needs.
Build scalable data ingestion pipelines in AWS Data Lake and set up Lake Formation for cross-account data sharing.
Implement data quality checks and alert systems using AWS services and custom solutions.
Utilize Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform for provisioning and managing AWS resources.
Establish and maintain CI/CD pipelines for automated testing, versioning, and deployment of data solutions.
Ensure data privacy, compliance, and security by configuring AWS IAM and Lake Formation.
Monitor data pipelines and infrastructure using AWS CloudWatch and relevant tools.
What You Bring:
Bachelor's or master's degree in a technical field.
5+ years of experience in data engineering or a similar role.
Expertise in AWS services (Lambda, Step Functions, S3, Athena, Glue, Lake Formation, CloudFormation).
Advanced SQL skills for complex data transformation and analysis.
Proficiency in Python.
Experience with mainstream data integration/ETL platforms.
Knowledge of CI/CD tools and DevOps practices.
Ideally, you will also have AWS or Snowflake certifications.
Join us at Randstad Digital Switzerland 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 fully remote: that is up to you.
