Merkle powers the experience economy by delivering holistic, end-to-end experiences that drive growth, engagement, and loyalty
Job Summary
Merkle powers the experience economy by delivering holistic, end-to-end experiences that drive growth, engagement, and loyalty.
You will be responsible for designing and building big data architecture pipelines for data lake houses in cloud, as well as optimizing and productionizing machine learning and predictive models.
Enjoy hybrid work models, adaptable hours, and home office options, alongside a well-balanced reward package including competitive salaries and wellness days.
Matching Summary
Merkle powers the experience economy by delivering holistic, end-to-end experiences that drive growth, engagement, and loyalty.
Skills & Requirements
Must-have
Big data architecture pipelines
Cloud data lake houses
Python programming
Azure, AWS, GCP services
Databricks, Snowflake, BigQuery
Relational and NoSQL databases
Streaming technologies (Kafka, Event Hubs)
Orchestration and ETL services (dbt, Airflow)
CI/CD automation tools
Nice-to-have
Versatile self-starter
Startup-minded attitude
Business intelligence project delivery
Web-tracking frameworks
Salesforce Cloud services
Key Requirements
3-7 years of experience in Data Engineer role
Experience building and productionizing big data architectures