Job Title: Principal Data Engineer
Location: Minneapolis, MN, Detroit, MI, Madison, WI, Columbus, OH, Chicago, IL.
Long Term Contract
Looking for W2 candidates. No C2C
Job Summary:
We are looking for a Principal Data Engineer to architect enterprise-scale data platforms supporting AI, Machine Learning, analytics, and real-time data processing. The ideal candidate should possess deep expertise in distributed systems, modern data architecture, and cloud-native engineering.
Key Responsibilities:
• Architect enterprise data platforms.
• Design Data Lakehouse architecture.
• Build real-time streaming solutions.
• Develop enterprise data APIs.
• Design Data Mesh architecture.
• Implement enterprise metadata management.
• Build scalable cloud-native data services.
• Optimize large-scale data processing.
• Mentor engineering teams.
• Define enterprise data engineering standards.
Required Skills:
• Python
• SQL
• Databricks
• Spark
• Kafka
• Snowflake
• dbt
• Apache Iceberg
• Delta Lake
• Airflow
• Kubernetes
• Docker
• Terraform
• Data Mesh
• Data Lakehouse
Preferred Skills:
• Microsoft Fabric
• AWS
• Azure
• Google Cloud Platform
• Unity Catalog
• AI Data Pipelines
Mandatory Skills:
• Databricks
• Spark
• Kafka
• Snowflake
• Data Lakehouse
• Apache Iceberg
• dbt
• Airflow
• Python
• SQL
• Kubernetes
• Data Mesh
Best Regards:
Bindu M
Phone: 307–298-2022
Email:
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