Data Architect

Position Title:
Data Architect

Location:

Minneapolis, MN & Hartford, CT (Onsite)
Duration: 6 Months Contract

• Strong hands-on experience in Python for data engineering and application development.
• Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, Cloud Watch, and Redshift.
• Strong expertise in Apache Spark for large-scale batch data processing.
• Hands‑on experience with Apache Flink for real‑time stream processing and event‑driven data pipelines.
• Experience designing and implementing batch and streaming data architectures.
• Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts.
• Experience with ETL/ELT frameworks and data integration.
• Strong SQL skills and experience with relational and No
  
  SQL databases.
• Experience with Apache Kafka or similar messaging/event streaming platforms.
• Strong understanding of distributed computing and big data technologies.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Hands‑on experience with Git and Agile development methodologies.
• Design and implement scalable, secure, and high‑performance data architecture solutions on AWS.
• Build and optimize batch processing pipelines using Apache Spark.
• Develop real‑time streaming data solutions using Apache Flink.
• Design end‑to‑end data ingestion, transformation, and processing pipelines.
• Define data models, governance standards, and architectural best practices.
• Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.