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Robert Half International Data Analyst in Charlotte, North Carolina



Design, develop and maintain scalable data pipelines

Develop data ingestion and integrations (REST, SOAP, SFTP, MQ, etc.) processes

Take ownership of building data pipelines

Actively engage in technology discovery and implementation for both on-prem and in Cloud (i.e. Azure or AWS) to build solution for future systems

Develop high performance scripts in SQL/Python/etc. to achieve objectives of enterprise data, BI and analytics need.

Incorporate standards and best practices into engineering solutions

Manage code versions in source control and coordinate changes across team

Participate in architecture design and discussions

Provide logical and physical data design, and database modeling

Be part of the operations team to collaborate and to help shape future management

Solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents

Supports the development and design of the internal data integration framework

Works with system owners to resolve source data issues and refine transformation rules


Have a B.A./B.S. and 3-5 years of relevant work experience; or an equivalent in education and experience

Hands on experience with Microsoft Stack – SSIS, SQL, etc.

Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations

Proven track-record of excellence and consistently delivered past project successfully

Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure analysis services and Cosmos DB

Experience with Python or Scala.

Understanding of continuous integration and continuous deployment on Azure

Experience with large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP)

Have excellent interpersonal and written/verbal communication skills

Manage financial information in a confidential and professional manner

Be highly motivated and flexible

Effectively handle multiple projects simultaneously and pay close attention to detail

Have experience in a multi-dimensional data environment

US work authorization


Data Analysis, Microsoft SQL, Microsoft SQL Server, SSIS, Python

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