Consulting Cloud Architect, OpenShift
Red Hat
Design and deliver Red Hat OpenShift, Kubernetes, and hybrid cloud solutions for enterprise customers. Lead customer engagements focused on infrastructure, automation, and application delivery.
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Marsh McLennan जोखिम, रणनीति और लोगों से संबंधित सलाहकारी सेवाओं के क्षेत्र में काम करने वाली एक वैश्विक पेशेवर सेवा कंपनी है। इसके व्यवसायों में Marsh शामिल है, जो बीमा ब्रोकरेज और जोखिम प्रबंधन सेवाएं प्रदान करता है; Guy Carpenter, जो पुनर्बीमा और पूंजी रणनीतियों पर केंद्रित है; Mercer, जो स्वास्थ्य, संपत्ति और करियर परामर्श में ग्राहकों की सहायता करता है; तथा Oliver Wyman, जो रणनीति, अर्थशास्त्र और ब्रांड परामर्श में विशेषज्ञता रखता है। दुनिया भर में 85,000 से अधिक कर्मचारियों के साथ, Marsh McLennan वित्त, परामर्श, मार्केटिंग और संबंधित पेशेवर सेवाओं में विशेषज्ञता को एक साथ लाता है। कंपनी में भर्ती के अवसर इसके चारों व्यवसायों में ग्राहक सलाह, जोखिम विश्लेषण, व्यावसायिक रणनीति, परामर्श और संचालन टीमों को सहयोग देने वाली भूमिकाओं तक फैले हुए हैं।
Data Engineering Analyst (Hybrid) - Louisville, Kentucky
Build Databricks data platforms and ETL pipelines supporting Marsh’s global risk and consulting business. This hybrid Louisville role emphasizes data quality, testing, and dependable workflow operations.
विवरण
- Partner with stakeholders to define data needs and convert them into actionable technical specifications
- Build and deploy data pipelines and ETL workflows
- Conduct comprehensive unit tests to verify functionality and performance
- Establish data quality controls and validation procedures
- Work with cross-functional teams to align project objectives, schedules, and deliverables
- Track data pipelines and workflows to maintain performance, reliability, and efficiency
- Apply improvements where needed
- Document data processes, platform architecture, and operational workflows
- Plan and deliver the setup and administration of a Databricks data platform across multiple regions
आवश्यकताएँ
- Bachelor’s degree in computer science, data science, information technology, or a related discipline
- Proficiency with Python and SQL
- Experience in data modeling and database design
- At least five years of professional Data Engineering experience
- Strong knowledge of ETL and ELT principles
- Experience integrating APIs and ingesting data from varied sources
- Experience with functional and automated data testing
- Knowledge of effective documentation practices and automation principles
- Familiarity with Apache Spark
- Experience working with AWS or Azure
- Experience integrating AI in test environments
- Ability to oversee QA Engineers and facilitate SCRUM calls
- Familiarity with Databricks and Snowflake
लाभ
- Opportunities for professional growth
- Engaging projects
- Supportive leadership
- Inclusive and energetic workplace culture
- Flexible working environment
- Benefits and rewards designed to support well-being
- Option to work remotely
- Office-based collaboration, networking, and professional development opportunities
- Support for workplace accommodations when needed
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