Consulting Data Engineer Cloud Modernization

Slalom’s consulting teams need data engineers skilled in client delivery and cloud modernization. The hybrid arrangement requires proximity to a Slalom location.This Data Engineer role partners with clients, architects, and multidisciplinary teams to deliver maintainable solutions. You will translate business and technical requirements into development tasks and reusable engineering patterns. Technologies may include Spark, Kafka, Airflow, dbt, Terraform, Kubernetes, and cloud platforms.Key Responsibilities:
Collaborate with clients during technical discovery and demonstrationsTranslate business requirements into actionable development tasksModernize data environments and migrate cloud workloadsContribute reusable patterns, accelerators, and technical communitiesDocument, test, monitor, and secure engineering solutionsRequirements:
Consulting or client-facing delivery experience may helpExperience with cloud, Databricks, or Snowflake platformsProficiency in SQL, Python, Java, or ScalaExperience with data modeling, ETL/ELT, or distributed processingAbility to explain technical concepts to varied audiencesUse cloud modernization, software engineering, and consulting skills to deliver trusted data solutions with Slalom clients.
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