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Are you the one we are looking for?
We are inviting applications for the role of Senior-Level Big Data Technical Lead, risk
Canvas End-to-End AML Solution
A leader in this role will engage in and drive client implementation and deliver of the risk
Canvas End-to-End Anti-Money Laundering Tool Suite. This person will work to grow the business through participating in pre-sales engineering as well as technical delivery of risk
Canvas to grow and deliver to our client base. Use of technical solutions to ingest, transform, and analyze large and disparate data sets is crucial to this role. Also necessary is expertise in big data, data storage and retrieval, methods of analysis and statistical calculation, optimization and algorithm design and implementation. As a technical leadership role, comfort in quickly designing and explaining solutions to clients is key. Working both directly and indirectly for clients, one would need excellent consulting and technical skills and the ability to work with both high-level business leaders and technical staff.
Configuring and maintaining Java, Angular (JS/TS) and Hadoop-based code frameworks
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 we seek in you!
Relevant experience administration in Linux operating systems and command line tools
Experience leading teams of technical or functional team members and able to sequence and oversee agile development to efficiently deliver within a plan and budget
Experience leveraging NoSQL database systems, including HBase or a similar data store
Experience implementing and leveraging Elasticsearch or a similar indexer
Experience with ETL or ELT approaches of data ingest and integration
Ability to learn quickly and work independently
Exemplary technical communications skills, ability to brief C-Suite Executives
BS or BA degree
Experience with exposing and consuming capabilities as RESTful services
Experience working with Angular 2.0 Web Framework
Experience using distributed and parallel computing technologies, including Hadoop, MapReduce, or Spark, to write batch and streaming analytic processing jobs
Experience teaching and leading technical conversations
Experience with AWS or Azure cloud environments
Experience with relational databases, including SQL
Experience architecting and implementing analytic solutions for large scale data processing
Experience with machine learning algorithms, statistics, operations research, 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 Scala, Python, R
Experience with git and gitflow
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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.