Data Information Architect
3 weeks ago
Overview:
We're seeking a Data Information Architect/AWS Data Engineer to join our Data Cloud team. The ideal candidate will possess expertise in Amazon Web Services (AWS) and Extract, Transform, Load (ETL) processes.
Responsibilities:
Design, develop, and maintain ETL pipelines.
Implement data integration solutions on AWS cloud services.
Optimize data processing workflows.
Utilize programming skills, particularly in scripting languages such as Python or Java.
Proficiency in SQL for data querying and manipulation.
Experience with AWS data services including S3, Glue, Redshift, and Athena.
Solid understanding of data modeling, database concepts, and data warehousing principles.
Experience with Salesforce Data Cloud and its implementation.
Understanding of Salesforce data architecture and data management best practices.
Troubleshoot complex data issues.
Collaborate effectively within cross-functional teams.
Familiarity with big data frameworks like Hadoop, Spark, or Kafka for processing and analyzing large volumes of data.
Skills/Experience:
5+ years' experience in hands-on testing within the Salesforce cross-cloud with a proven track record.
Knowledge and expertise in JEE, AWS, SOA, web development, web services, XML, JSON, DHTML, and Oracle 11G (or higher)/SQL Server.
Strong analytical thinking skills with the ability to troubleshoot and resolve intricate issues.
Required Skills:
Collaboration with cross-functional teams to understand project requirements and specifications.
Hands-on experience with the Rest Assured automation framework, demonstrating proficiency in handling JSON objects and executing GET, PUT, POST, and DELETE protocols.
Proficiency in Informatica PowerCenter for ETL workflows, transformations, and data integration tasks.
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