Responsibilities
Qualifications
Minimum qualifications
Preferred qualifications
- Configuring and maintaining Hadoop-based platforms for Big Data parallel processes
- Using advanced techniques (indexing, caching, estimating, etc.) to improve code efficiency
- Gathering and sequencing business and technical requirements
- Troubleshooting and resolving complex data and processing issues in client environments
- Integrating data analytics into larger software, hardware, and networking ecosystems
- Learning new methods, frameworks and languages to deliver optimal solutions to clients
- Communicating complex technical solutions in the AML/KYC/EDD domain
- Working closely with client technical POCs from Jr-level to C-Suite to understand strategic and tactical needs, challenges, and goals and design and deliver solutions to meet them
Qualifications
Minimum qualifications
- 3+ years of experience with Big Data & Data Analytics
- 2+ years of experience with Java, Scala, or Python
- 2+ years of experience using distributed and parallel computing technologies, including Hadoop, MapReduce, or Spark, to write batch and streaming analytic processing jobs
- 2+ years of experience leveraging NoSQL database systems, including HBase or a similar data store
- 2+ years of experience implementing and leveraging Elasticsearch or a similar indexer
- 2+ years of administration or deep user experience in Linux operating systems
- 2+ years of experience with fast-paced development or delivery teams
- Ability to learn quickly and work independently
- Exemplary technical communications skills
- BS or BA degree
Preferred qualifications
- Experience with git and gitflow
- Experience with machine learning algorithms, statistics, operations research or data analysis
- Experience working with other big data technologies (Kafka, Neo4J, Flink, Ignite, etc.)
- Experience with implementing rapid response query solutions on Big Data platforms, including indexing for combinations and variations of temporal, spatial, and textual
- Experience with relational databases, including SQL
- Experience with exposing query and analytic capabilities as RESTful services
- Experience with R or statistical modeling software
- Experience teaching and leading technical conversations
- Experience architecting and implementing Analytic solutions for large scale data processing
- Familiarity with visualization and user interface technologies
- MS degree
