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Technology Management Senior Analyst, VP
3 months ago
Description
A Data Engineer is responsible for designing, developing and delivering significant components of data engineering solutions to accomplish business goals. Key responsibilities of this role include building consolidating data from across multiple sources, designing and implementing ETL jobs and building Analytics dashboards that enables business to achieve their goals
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and aboveYour key responsibilities
Lead the feature team, collaborating with others to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production Use data BDD techniques, collaborating closely with users, analysts, developers and other testers. Make sure we are building the right thing. Write code and write it well. Be proud to call yourself a programmer. Use test driven development, write clean code and refactor constantly. Make sure we are building the thing right. Be ready to work on a range of technologies and components, including user interfaces, services and databases. Act as a generalizing specialist. Define and evolve the architecture of the components you are working on and contribute to architectural decisions at a department and bank-wide level. Ensure that the software you build is reliable and easy to support in production. Be prepared to take your turn on call providing 3rd line support when it's neededYour skills and experience
Proficiency in Java 8, Python 3x with good understanding of both object oriented and functional programming concepts. Practical experience in building data engineering solutions Experience in Google Cloud (GCP) solutions Strong knowledge of Java, Spring, Spring Boot, Maven Strong knowledge of build automation systems such as TeamCity/Jenkins or UDeploy Familiar with version control systems such as GIT Experience with setting up key stores, generating SSL Certificates Experience working in an agile team, practicing Scrum, Kanban or XP (Optional) An understanding of web technologies, frameworks and tools, for example: HTML, CSS, Javascript, Angular, Bootstrap, React, D3, Node.js Experience of Automated Testing is highly desirable Architecture and design approaches that support rapid, incremental and iterative delivery, such as Domain Driven Design, CQRS, Event Sourcing and microservices Experience with Control-M jobs configuration High performance SQL data access - SQL scripts Database: Oracle 10G or higher for Liquibase database automation. Experience in CI/CD implementationsHow we’ll support you
Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs-
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