Job Details

Senior Big Data Developer FTE

Hartford, Connecticut, United States
Required Qualifications
• 3+ years' experience designing, building, and deploying scalable data pipelines to production on huge amounts of data .
• 3+ years hands-on experience in: Python, Spark, Hive, Shell
• 2+ years' experience designing, building deploying cloud native solutions.
• 3+ years' experience working within Hadoop ecosystem (HDFS, YARN, etc).
• 2+ years' experience developing solutions using RDBMS, HBASE, NiFi, etc.
• 2+ years' experience with at least one document-oriented DB (MongoDB, CouchDB, etc).
• 1+ years hands-on experience writing Infrastructure as Code (IaC) using Terraform or similar IaC tools
• Demonstrated strength in data modeling, ETL development, and data warehousing.
• Experience monitoring and troubleshooting operational or data issues in data pipelines.

Preferred Qualifications• Experience developing solutions using Message Systems, including RabbitMQ, Kafka, etc.
• Working knowledge of data structures, algorithms, distributed processing
• Working knowledge of implementation of machine learning algorithms in Spark MLlib, H2O, R or related libraries/packages
• Demonstrated ability to drive and articulate technical challenges and solutions.
• Demonstrated ability to create advanced architectures and sustainable solutions.
• Demonstrated ability to deliver high-quality software through working in a dynamic, team-focused Agile/Scrum environment
• Experience collaborating with product and non-technical partners
• Experience with at least one RDBMS (MySQL, PostgreSQL, RDS, Oracle, etc)
• Hands-on experience with DevOps pipeline tools for code integration, automated testing, and deployment (Git, Jenkins/Groovy, etc.)
• Google Cloud Platform/AWS/Azure Certification(s)

Education Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline
- provided by Dice

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