Sr. Data Integration Engineer in Atlanta, GA at HUNTER Technical Resources

Date Posted: 3/27/2020

Job Snapshot

Job Description

The Sr. Data Integration Engineer is responsible for the development, Implementation and support of an advanced data integration strategy, architecture and framework at the enterprise level. Should have strong hands-on development track record of building integrations utilizing a variety of integration products, tools, protocols, technologies and patterns.
  • Design and implementation experience with one or more of the integration technologies such as Talend, SSIS, Data Stage, Kafka, Boomi /Mulesoft required.
  • Data base experience with MS SQL, Oracle databases is also required.
  • A strong knowledge of enterprise analytics, big data platforms, data exchange models, CRM, MDM, and cloud integration is preferred.
  • Define and implement of standard processes and procedures for managing data integration and data exchange models between systems on premise and cloud systems including security, traceability, audit, performance and risk.
  • Lead the data integration aspect of mission critical projects for the enterprise, including hands on delivery
  • Assists developers, analysts, and designers in conceptualizing and validating solutions that meet business requirements
  • Develop skilled team of integration engineers (direct and virtual among LOBs) responsible for data integration and data quality
  • Define effective hybrid models for integration between legacy and cloud applications (including SalesForce, Jira, REST API) for all integration methods (ETL/ELT/Data hub
  • Provide direction to value streams and assist in implementation and testing.

  • Bachelor' s degree in Engineering or IT related field required
  • 5+ years of hands on data integration tools-based data integration, analytics, data governance and master data
  • 5+ years of hands on data integration, API integration code development using python or java
  • 2+ years of architecture and data integration design experience
  • 2+ years of hands-on experience in implementing data lakes with cloud technologies such as S3, ADW, Spark, Hadoop or Cassandra
  • Exposure to all phases of software development lifecycle and requirements gathering within a variety of analytical and integration technologies and applications
  • Prior experience in defining and building an EDW and modeling/implementing Master Data subject areas are preferred
  • Data modeling experience; specifically designing logical models/data dictionaries from business requirements
  • Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills