Customer Support Executive

Roles and Responsibilities:

Architect, build and maintain excellent React Native applications with clean code.

Implement pixel perfect UI's that match designs.

Implement clean, modern, smooth animations and transitions that provide an excellent user experience.

Write unit and integration tests.

Release applications to IOS and Google Play stores.

Work with native modules when required.

Skills Required:

Hands-on experience in React native and other advanced JavaScript libraries and frameworks

Good Knowledge of HTML5, CSS

Strong understanding of Virtual DOM, ES6, Redux, Immutable, JSX Components, Bootstrap, Material Design

Experience working with remote data using RESTful APIs and JSON.

Experience integrating third-party libraries and APIs.

Should be able to handle projects from scratch.

Familiarity with native build tools, Gradle {Android Studio, IntelliJ}, like XCode Good Analytical & debugging skills

Good analytical and problem solving skills

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

Responsibilities of the role:

·      Manage extraction of data sets from multiple marketing/database platforms and perform hygiene and quality control steps, either via Datorama or in partnership with Neo Technology team. Data sources will include: web analytic tools, media analytics, customer databases, social listening tools, search tools, syndicated data, research & survey tools, etc…

· Implement and manage data system architecture

· Audit and manage data taxonomy/classifications from multiple systems and partners

· Manage the extraction, loading, and transformation of multiple data sets

· Cleanse all data and metrics; perform override updates where necessary

· Execute all business rules according to requirements · Identify and implement opportunities for efficiency throughout the process

· Manage and execute thorough QA process and ensure quality and accuracy of all data and reporting deliverables

· Manipulate and analyze “big” data sets synthesized from a variety of sources, including media platforms and marketing automation tools

· Generate and manage all data visualizations and ensure data is presented accurately and is visually pleasing

· Assist analytics team in running numerous insights reports as needed

· Help maintain a performance platform and provide insights and ongoing recommendations around.

Requirements :

· 5+ years’ experience in an analytics position working with large amounts of data

· Hands-on experience working with data visualization tools such as Datorama, Tableau, or PowerBI

· Additional desirable skills include tag management experience, application coding experience, statistics background

· Digital media experience background preferred, including knowledge of Doubleclick and web analytics tools

· Excellent communication skills

· Experience with HTML, CSS, Javascript a plus

The role requires you to:

• Answer client queries related to use of Superset software product, on email channel, and largely phone channel
• To understand queries, resolve them by providing ways to achieve use cases using Superset tool
• Ensure customer success by providing timely resolution
• Write documentation and FAQs

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients