Acro Service Corporation - Phoenix, AZ

posted 15 days ago

Full-time
Phoenix, AZ
Administrative and Support Services

About the position

The Data Integration Engineer is responsible for implementing and managing integration platforms and designing data analytics infrastructure at scale. This role involves overseeing end-to-end data integration projects, ensuring data quality, and troubleshooting integration issues. The engineer will also work on API infrastructure and data modeling to support business processes and requirements.

Responsibilities

  • Implement and manage integration platforms such as Boomi, MuleSoft, and Azure Integration Services.
  • Design, implement, and manage data analytics infrastructure using platforms like Azure Data Lake and Snowflake.
  • Manage end-to-end data integration projects, including planning, design, implementation, and maintenance.
  • Conduct data profiling and quality assurance to ensure data accuracy and reliability.
  • Troubleshoot data integration issues, identify performance bottlenecks, and resolve data inconsistencies.
  • Transform raw data into meaningful insights through analytical methods.
  • Design databases and data warehouses using data modeling concepts and tools.
  • Implement and manage API infrastructure.
  • Utilize integration methodologies effectively.
  • Engage in hands-on programming and application development.

Requirements

  • 3+ years of experience implementing and managing integration platforms such as Boomi, MuleSoft, Azure Integration Services.
  • 3+ years of experience designing, implementing, and managing data analytics infrastructure using Azure Data Lake, Snowflake, etc.
  • 5+ years of experience in data integration, ETL development, data engineering, or related fields.
  • 3+ years of experience managing end-to-end data integration projects.
  • 3+ years of experience with data profiling and quality assurance.
  • 3+ years of experience troubleshooting data integration issues and resolving data inconsistencies.
  • 3+ years of experience with data modeling concepts and tools.
  • 5+ years of experience implementing and managing API infrastructure.
  • 3+ years of experience in integration methodologies.
  • 3+ years of hands-on programming and application development experience.
  • 4+ years of relational database experience (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
  • 3+ years of experience interpreting business and user requirements.

Nice-to-haves

  • Knowledge or background of airport systems and airport technology landscape.
  • Certifications like Certified Data Management Professional (CDMP) or platform-specific certifications (e.g., for Salesforce, AWS, Microsoft Azure, or MuleSoft).
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