Sr. Data Engineer

2 weeks ago


San Jose, United States Robert Half Full time

Robert Half is looking for a Data Engineer role that is pivotal within the Business Intelligence and Data Warehousing team, serving as a software engineering expert. This individual is tasked with developing robust data ingestion systems to facilitate the creation of high-value business intelligence products. As an individual contributor, this role emphasizes hands-on development and adept problem-solving abilities for addressing production support issues.


Experience Required: 8+ years of engineering experience, with a demonstrated track record of working extensively with Azure Data Factory and Informatica Power Center / IICS.


Responsibilities:

  • Designing, implementing, and optimizing data integration solutions utilizing Microsoft Azure services and other relevant tools.
  • Automating tasks and deploying production-grade code with a focus on unit testing, continuous integration, version control, etc.
  • Creating and maintaining data pipelines using Azure Data Factory.
  • Collaborating within an Agile framework to deliver timely and effective solutions.
  • Taking primary responsibility for production support activities, with secondary support provided by others.
  • Adapting and learning new tools as necessary to meet evolving business requirements.


Required Skills:

  • Extensive recent experience as an Azure Data Engineer, complemented by prior exposure to either Informatica IICS or Power Center.
  • Proficiency in Cloud Application Integration and Cloud Data Integration utilizing Azure Data Factory, Azure Functions, and Serverless architecture.
  • Solid understanding of Rest V2, Swagger file generation, and proficiency in Python scripting.
  • Hands-on experience in developing application integrations using SOAP/REST APIs and familiarity with big data technologies such as Apache Spark.
  • Familiarity with DevOps platforms, including Azure DevOps and GitHub.


Preferred Skills:

  • Familiarity with Kubernetes, Docker, Terraform, and/or Snowflake.
  • Working knowledge of SQL and proficiency in data analysis techniques.


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