3 Hadoop Ecosystem Jobs

Duration: 8Months Work Type: Onsite Position Description: Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Skills Required: Machine Learning, GenAI, LLM Skills Preferred: Python, Google Cloud Platform, Big Query Experience Required: 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience Preferred: 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Education Required: Bachelor's Degree

Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Your key responsibilities You are responsible for the implementation of the new project on GCP (Spark,Dataproc,Dataflow,BigQuery,Terraform etc) in the whole SDLC chain You are responsible for the support of the migration of current functionalities to Google Cloud You are responsible for the stability of the application landscape and support software releases You also support in L3 topics and application governance You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot) Your skills and experience You have experience with databases (HDFS, BigQuery, etc.) and development preferably for Big Data and GCP technologies Strong understanding of Data Mesh Approach and integration patterns Understanding of Party data and integration with Product data Your architectural skills for big data solutions, especially interface architecture allows a fast start You have experience in at least: Spark, Java and Scala, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes You can work very well in teams but also independent and are constructive and target oriented Your English skills are good and you can both communicate professionally but also informally in small talks with the team

Proven experience as SPARK developer Strong programming skills in Java Familiarity with Big Data processing tools and techniques Experience with Hadoop ecosystem Good understanding of distributed system Experience with streaming data Understanding of standard SDLC and Agile processes Good experience in the coding standards and code quality Ability to understand requirements and develop code individually. Strong writing, communication, time-management skills and positive attitude Knowledge working in Agile development. Experience in JAVA J2EE JAVA 8/latest version development Experience in the SpringSpring BootSpring MVC/Sprint JPA/ Spring Security. Mandatory Experience in CLOUD/DOCKER/CONATINER/Kubernetes Knowledge in Microservices REST API Webservices Qualification Proven experience as SPARK developer Strong programming skills in Java Familiarity with Big Data processing tools and techniques Experience with Hadoop ecosystem Good understanding of distributed system Experience with streaming data Understanding of standard SDLC and Agile processes Good experience in the coding standards and code quality Ability to understand requirements and develop code individually. Strong writing, communication, time-management skills and positive attitude Knowledge working in Agile development. Experience in JAVA J2EE JAVA 8/latest version development Experience in the SpringSpring BootSpring MVC/Sprint JPA/ Spring Security. Mandatory Experience in CLOUD/DOCKER/CONATINER/Kubernetes Knowledge in Microservices REST API Webservices