GCP Data Engineering Lead

4 weeks ago


Atlanta, United States ClifyX Full time

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
• nalyzes 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 "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
• bility 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.
• bility 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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