[Remote] Principal Consultant – Full Stack Developer
Note: The job is a remote job and is open to candidates in USA. Genpact is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. The Principal Consultant – Full Stack Developer will engage in development for the analytics and data portion of the Anti-Money Laundering Tool Suite, creating innovative technical solutions to maintain and grow the client base.
Responsibilities
- Highly motivated problem solver with exceptional interpersonal and communication skills
- Seasoned developer for L3 support and maintenance
- Debugging and developing new code in Java and Python
- Designing, implementing, and enhancing distributed parallel data analytics software for AML
- 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
- Integrating designed data analytics into a larger software ecosystem
- Learning new methods, frameworks and languages to ensure optimal solutions
- Understanding and communicating complex technical solutions in the
- AML/KYC/EDD domain and evangelizing solution to clients
- Willing to work on-call shifts requiring flexible work hours including weekends and holidays
Skills
- Bachelor's Degree or equivalent in Engineering, Computer Science, IT
- Minimum of five years of experience in the IT industry
- Experience with Big Data & Data Analytics
- Experience with Angular framework
- Experience using distributed and parallel computing technologies, including Hadoop, MapReduce, and Spark, to write batch and streaming analytic processing jobs
- Experience demonstrating NoSQL database systems, including HBase or a similar data store
- Experience in XML, JSON
- Experience with machine learning algorithms, statistics, operations research or data analysis
- Experience implementing and demonstrating Elasticsearch or a similar indexer
- Ability to learn quickly and work independently
- Exemplary technical communications skills
- Experience with git
- Experience working in an agile environment
- Experience working with other big data technologies (Kafka, Neo4J, Flink, Ignite, etc.)
- Experience with Linux operating systems
- 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 Scala, R
- Experience teaching and leading technical conversations
- Familiarity with visualization and user interface technologies
Benefits
- The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity
- Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
- Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
- Work in an environment where governance, transparency, and security are at the core of everything we build
- Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws
- Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation
- Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way
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