

Collaborate with the CIO on application Architecture and Design of our ETL (Extract, Transform,
Load) and other aspects of Data Pipelines. Our stack is built on top of the well-known Spark
Ecosystem (e.g. Scala, Python, etc.)
Periodically evaluate architectural landscape for efficiencies in our Data Pipelines and define current
state, target state architecture and transition plans, road maps to achieve desired architectural state
Conducts/leads and implements proof of concepts to prove new technologies in support of
architecture vision and guiding principles (e.g. Flink)
Assist in the ideation and execution of architectural principles, guidelines and technology standards
that can be leveraged across the team and organization. Specially around ETL & Data Pipelines
Promotes consistency between all applications leveraging enterprise automation capabilities
Provide architectural consultation, support, mentoring, and guidance to project teams, e.g. architects,
data scientist, developers, etc.
Collaborate with the DevOps Lead on technical features
Define and manage work items using Agile methodologies (Kanban, Azure boards, etc) Leads Data
Engineering efforts (e.g. Scala Spark, PySpark, etc)
Knowledge & Experience
Experienced with Spark, Delta Lake, and Scala to work with Petabytes of data (to work with Batch
and Streaming flows)
Knowledge of a wide variety of open source technologies including but not limited to; NiFi,
Kubernetes, Docker, Hive, Oozie, YARN, Zookeeper, PostgreSQL, RabbitMQ, Elasticsearch
A strong understanding of AWS/Azure and/or technology as a service (Iaas, SaaS, PaaS)
Strong verbal and written communications skills are a must, as well as the ability to work effectively
across internal and external organizations and virtual teams
Appreciation of building high volume, low latency systems for the API flow
Core Dev skills (SOLID principles, IOC, 12-factor app, CI-CD, GIT)
Messaging, Microservice Architecture, Caching (Redis), Containerization, Performance, and Load
testing, REST APIs
Knowledge of HTML, JavaScript frameworks (preferably Angular 2+), Typescript
Appreciation of Python and C# .NET Core or Java Appreciation of global data privacy requirements
and cryptography
Experience in System Testing and experience of automated testing e.g. unit tests, integration tests,
mocking/stubbing
Relevant industry and other professional qualifications
Tertiary qualifications (degree level)
We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on
our commitment to Equality and Diversity and are committed to removing barriers throughout our
hiring process.
Key Requirements
Extensive data engineering development experience (e.g., ETL), using well known stacks (e.g., Scala
Spark)
Experience in Technical Leadership positions (or looking to gain experience)
Background software engineering
The ability to write technical documentation
Solid understanding of virtualization and/or cloud computing technologies (e.g., docker, Kubernetes)
Experience in designing software solutions and enjoys UML and the odd sequence diagram
Experience operating within an Agile environment Ability to work independently and with minimum
supervision
Strong project development management skills, with the ability to successfully manage and prioritize
numerous time pressured analytical projects/work tasks simultaneously
Able to pivot quickly and make rapid decisions based on changing needs in a fast-paced environment
Works constructively with teams and acts with high integrity
Passionate team player with an inquisitive, creative mindset and ability to think outside the box.

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Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.
Key Responsibilities / Duties:
- Acquire, transform, and manage data supporting risk and control-related activities
- Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
- Maintain programming code, software packages, and databases to support ongoing analytics activities.
- Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
- Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
- Introduce new data analytics-related tools and technologies to business partners and consumers.
- Support business partners, data analysts, consumers’ understanding of product logic and related system processes
- Share learnings and alternative techniques with other Engineers and Data Analysts.
- Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
- Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
- Keep Head of Data Science & Engineering and departmental leadership informed of activities.
Work Experience / Knowledge:
- Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
- Experience within the financial services sector preferred
Skills / Other Personal Attributes Required:
- Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
- Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
- Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management.
- Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
- Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
- Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
- Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
- Self-starter and motivated; must be able to work without frequent direct supervision
- Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
- Excellent analytical and problem-solving skills
- Strong project management and administrative skills
- Strong written and verbal communication skills (English)
- Results-oriented and comfortable as an individual contributor on specific assignments
- Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
- Demonstrated ability to work in a diverse, cross-functional, and international environment
- Adaptable and comfortable with changing environment
- Demonstrates high professional ethics
Formal Education:
- Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
- MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
License / Registration / Certification:
- Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
- Other certifications considered depending on domain and relevant experience
Working Conditions:
Potential for up to 10% domestic and international travel
Position Summary:
The individual should be self-motivated, creative and proactive to work successfully in a
fast-paced environment including multiple platforms and architectures, and diverse technologies. The
Individuals will work closely with developers, project managers and other stakeholders.
Minimum Requirements:
Experience/Skills:
- Excellent verbal and written communication skills
- Primary Skillset: Strong Core Java experience (Java 8 concepts), JSPs, Servlets, Struts Framework
- Strong in Spring core, MVC and Spring JPA
- Working experience on UI using jQuery, JavaScript and CSS
- Experience in Angular is an added advantage.
- Strong knowledge of XML handling and JSON implementation
- Strong knowledge of Web Services (REST API)
- Experience in handling SQL and PL/SQL, preferably SQL Server
- Knowledge of Postgres is an added advantage.
- Experience in writing unit test cases with whole code coverage
- Experience in JMS implementations preferably Apache Active MQ
- Should be able to write Unit test cases with whole code coverage

1. Core Java.
2. Thorough understanding of React.js and its core principles.
3. Strong proficiency in JavaScript, JQUERY, including DOM manipulation and the JavaScript
object model.
4. Experience with popular React.js workflows (such as Flux or Redux).
5. Knowledge of modern authorization mechanisms, such as JSON Web Token, SSO
authentication.
6. Familiarity with RESTful APIs.
7. Familiar with Linux
8. Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
9. Familiarity with Spring Boot, Hibernate (JPA)
10. Oracle or any other DB experience
11. Any J2EE server or Tomcat container experience required
Utilize native third party SDKs in NativeScript
- Experience in JavaScript and AngularJS/Angular 4 / Angular 2 & in NativeScript
- Implement real-time cross-platform mobile and web applications. Develop User interfaces for Modern Rich Internet Applications with the latest Front End Technologies
- Perform product analysis and development tasks of increasingly complex nature which may require extensive research and analysis.
- Writing tested and documented JavaScript, HTML and CSS
- Make design and technical decisions for AngularJS projects.
- Develop application code and unit test in the AngularJS, Rest Web Services and Java technologies for the Application Development Center.
- Work closely with UX/UI designer to keep continuity across mobile / web / desktop


We are looking for a passionate Sr.Software Engineer to design, develop and maintain the software solutions. The successful candidate will be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design. The candidate should have working knowledge in the specialist area of
Core JAVA, JSP,Servlet, JavaScript, JQuery/Angular and HTML 5
Spring Boot Framework , Hibernate/JPA,
REST API using the Java,
GIT / GitHub/SVN,
And MySQL/Oracle
Note : JSP,Servlet and Spring Boot is must
Added Advantage
Micro service architectureEducational Qualifications:
BE / MCA
Relevant Experience:
5+ years of work experience.
Working 6 days per week
Behaviors:
Good Communication Skills.






