SAP Gloabl Inc
Princeton Junction, NJ
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Job Description :

Job Title:- Cloud Data Engineer

Location:- Remote

Duration:- 12+ MOnths 

 

 

RESPONSIBILITIES

  • Supporting and modernizing existing data integrations.
  • Crafting and maintaining efficient data pipeline architecture.
  • Assembling large, complex data sets that meet business requirements.
  • Design and maintain schemas.
  • Monitor, manage, and troubleshoot Boomi processes. 
  • Create and maintain optimal data pipeline/flow architecture.
  • Identifying, crafting, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Working with technical and non-technical stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Working with the team to strive for clean and meaningful data, and greater functionality and flexibility within the team’s data systems.
  • Design processes supporting data transformation, data structures, metadata, dependency, and workload management.

Requirements

  • Advanced working knowledge of SQL and NoSQL query authoring.
  • Experience working with Boomi.
  • Experience with Microsoft Fabric, Power Platform including Power BI and Power Apps.
  • Proficiency with object-oriented/object function scripting languages: Python, C#, etc.
  • Experience with big data tools: Spark, etc.
  • Experience with NetSuite ERP and SuiteQL.
  • Experience working with streams such as Event Hubs and Event Driven Architectures.
  • Experience building, maintaining, and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources.
  • Strong project management, communication, and organizational skills.

Preferred Education and Experience

  • Bachelor’s degree or equivalent experience.
  • 5+ years of proven experience deploying and maintaining always-on data services.
  • 2+ years in building data engineering pipelines in Spark.
  • 2+ years of experience working with Microsoft Azure.
  • 2+ years of experience with SQL Server.
  • 1+ years of experience with Boomi.
  • 1+ years of experience with NetSuite.
             

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