Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer 2 in Phoenix, AZ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
2+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
2+ years of hands-on experience developing data flows using Kafka, Flink, and Spark streaming
3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics
Desired Skills & Experience
Proven skills with data migration from on-prem to a cloud native environment
Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
Design and implementation of highly scalable and modular data pipelines with built-in data controls for automating data governance
Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent-based data capabilities
Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
Web based UI development using React and Node JS is a plus
What You Will Be Doing
Participate in low to moderately complex initiatives and identify opportunity for process improvements within Software Engineering.
Review and analyze basic or tactical Software Engineering assignments or challenges that require research, evaluation, and selection of alternatives, related to low-to-medium risk deliverables.
Present recommendations for resolving low to moderately complex situations and exercise some independent judgment while developing understanding of function, policies, procedures, and compliance requirements.
Provide information to client personnel in Software Engineering.
Numbers & Facts
Location
PHOENIX, AZ
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Hiveunmatched
Apache Kafkaunmatched
Apache Sparkunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Customer Satisfactionunmatched
Data Analysisunmatched
Data Formatsunmatched
Data Managementunmatched
Data Migrationunmatched
Data Warehousingunmatched
Dockerunmatched
Ecosystemsunmatched
Engineeringunmatched
Financial Servicesunmatched
GCP (Good Clinical Practices)unmatched
Gitunmatched
HDFS (Hadoop Distributed File System)unmatched
Jenkinsunmatched
Microsoft Windows Azureunmatched
Militaryunmatched
NoSQLunmatched
Node.jsunmatched
Process Improvementunmatched
Public Cloudunmatched
Python Programming/Scripting Languageunmatched
React.jsunmatched
Regulatory Complianceunmatched
Riskunmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
Team Playerunmatched
User Interface/Experience (UI/UX)unmatched
Web Programmingunmatched
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