Citi Group Data Analytics Platform Engineer - VP Hybrid 

United States, Texas, Houston 

711309599

Responsibilities:

• Design and deliver data analytics Platform as a Service solution(s) as turn-key offerings to support Citi lines of businesses.
• Contribute and execute the strategy, architecture, and feature roadmap for supporting and evolving Citi’s Big Data Enterprise Analytics Platform (EAP) Services and related data analytics solutions.
• Drive platform modernization efforts to support storage and compute decoupling and enablement of elastic compute capabilities.
• Work on designing hybrid cloud architecture, evaluations, and enablement efforts to build solutions using IaaS, PaaS, and SaaS capabilities.
  

Qualifications:

• Strong understanding of private and public cloud technologies, architectures, network designs, etc., along with working experience of one of the major public cloud service providers – AWS, GCP, or Azure. GCP experience preferred.
• Understanding of platform architecture, high availability, fail-over, disaster recovery planning, and implementation considerations based on service level agreements.
• Experience in engineering platform solutions using various hosting options including physical machines, virtual machines, containers, and Kubernetes.
• Hands-on experience with Big Data technologies like Hadoop, Spark, Hive, Impala, HBase, YARN, etc. using distribution from Cloudera or MapR. Cloudera experience preferred.
• Experience with developing and managing Data Lakes and Analytics platforms using technologies like Hadoop/HDFS, Object Storage (S3, GCS, or similar), Apache Spark, Apache Trino, etc.
• Knowledge of business intelligence & reporting solution such as Tableau, Qlik, etc. and familiarity with large scale analytical platforms / products such as Python, H2O, Dataiku, Google Vertex AI, etc.
• Hands on work with one of the major programming languages Java, Python, Ruby, etc.
• Working knowledge of Infrastructure as Code (IaC) and CI/CD processes and tools.
• Understanding of data life cycle – data acquisition, data quality management, data governance, and metadata management.
• Excellent written and verbal communication skills.
• Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities.
• Experience managing vendor interactions for troubleshooting sessions, enhancement requests, and guiding vendor roadmaps to meet Citi standards and functional requirements.
• Self-starter able to work with minimal supervision and in a global team of members with diverse skills and backgrounds.
  

Preferred Qualifications:

• Experience in moving application workloads from on-premises Hadoop platforms to GCP (Google Cloud Platform) IaaS services like Google Cloud Engine, and Google Cloud Storage and/or PaaS services like Dataproc, Big Query, and Big Table.

Education:

• Bachelor's degree required, 8 or more years of experience in relevant technologies

Anticipated Posting Close Date:

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