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GCP Data Engineering Lead
Location:
US-GA-Atlanta
Jobcode:
3582249
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GCP Data Engineering Lead - Atlanta, GA - Infosys/Genuine Parts Responsibilities: " The Data Engineer performs design, development, and implementation of integration processes for both the Enterprise Data Lake, Data Warehouse and Applications " Analyzes requirements and existing resources to create efficient database and integration designs that meet company IT standards. " Works with project and business analyst leads to develop and clarify in-depth technical requirements. " Participates in all phases of the integration development lifecycle, including unit testing, quality assurance (QA) and ongoing support. " Helps with Production support as needed " Helps define and adheres to team working agreements " Daily attend team standups and agile ceremonies " Collaborate and work closely with other teammates " Have a "test-first attitude with a focus on automation " Employ best practices around observability, monitoring, and system resilience Desired Qualifications & Experiences: " Five or more years' experience in software engineering. " Five or more years' experience in large scale RDBMS environments or Google Big Query " Two or more years of Exadata experience OR Google Big Query " Four or more years' experience with Informatica PowerCenter or IICS " One or more years' experience in Erwin " Experience in code automation (e.g., pattern-based integration) " Experience in advanced SQL and PL/SQL techniques " Experience in building re-usable Utility packages " Experience with testing the code " Experience in Unix shell and Python scripting " Integration design & data modeling skills in Data Lake and Data Warehousing environments " Exposure to both on-prem and cloud Integration solutions " Familiarity with non-relational DB technologies is a plus " Experience with automated testing " Experience with both batch and real-time patterns for integrations " Ability to build and analyze complex integration workflows from heterogeneous data sources " Experienced in large Enterprise Data Warehouse & Integration projects. " Strong background in full lifecycle development using multiple platforms or languages. " Ability to interact at a technical and non-technical level with Infrastructure, Network, Development, BA and QA teams. " Development experience in high transaction/high availability systems. " Experience with analyzing and recommending solutions for Production issues short-term and long term

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