Spark Scala Developer

Roles & Responsibilities

• Participated in requirement analysis, solution design, and technical discussions with business and cross-functional teams.
• Designed, developed, and maintained scalable Spring Boot microservices following RESTful API standards.
• Built and enhanced backend services using Java 8/11/17, Spring Boot, Spring MVC, Spring Data JPA, and Hibernate.
• Developed REST APIs for communication between distributed microservices.
• Implemented Spring Security with JWT/OAuth2 for authentication and authorization.
• Worked with Apache Kafka for asynchronous messaging and event-driven communication between microservices.
• Developed business logic and data processing modules using Scala for high-performance applications.
• Integrated applications with external systems and third-party APIs using REST and SOAP web services.
• Designed and optimized SQL queries, stored procedures, and database schemas in Oracle, MySQL, or PostgreSQL.
• Implemented service discovery, centralized configuration, and API Gateway using the Spring Cloud ecosystem (Eureka, Config Server, Gateway).
• Containerized applications using Docker and deployed microservices on Kubernetes/OpenShift environments.
• Built and maintained CI/CD pipelines using Jenkins, GitLab CI, or similar DevOps tools.
• Performed unit testing and integration testing using JUnit, Mockito, and Spring Test frameworks.
• Monitored application health and performance using ELK Stack, Splunk, Prometheus, or Grafana.
• Identified and resolved production issues, performed root cause analysis, and implemented preventive solutions.

Roles & Responsibilities:

• 6+ Yrs. of development experience on Scala, Elastic Search and Mongo DB

• Should have experience of working on Responsive and high availability web platforms

• Knowledge on some of the key tech stack like Elastic Search, MongoDB, Play framework, Akka Framework and Java is a must.

• Deep insight into Rest API development • Should be up to date with industry best practices for API development using Scala

• Good team handling skills

• Good development and logical skills • Hands-on experience + Guiding Junior Scala Developers

• Good analytical skills

• Able to learn new technologies on the fly based on requirement

• Able to help the team members as and when needed to improve team capability 

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

About Vymo

Vymo is a Sanfrancisco-based next-generation Sales productivity SaaS company with offices in 7 locations. Vymo is funded by top tier VC firms like Emergence Capital and Sequoia Capital. Vymo is a category creator, an intelligent Personal Sales Assistant who captures sales activities automatically, learns from top performers, and predicts ‘next best actions’ contextually. Vymo has 100,000 users in 60+ large enterprises such as AXA, Allianz, Generali.Vymo has seen 3x annual growth over the last few years and aspires to do even better this year by building up the team globally.

What is the Personal Sales Assistant

A game-changer! We thrive in the CRM space where every company is struggling to deliver meaningful engagement to their Sales teams and IT systems. Vymo was engineered with a mobile-first philosophy. The platform through AI/ML detects, predicts, and learns how to make Sales Representatives more productive through nudges and suggestions on a mobile device. Explore Vymo https://getvymo.com/">https://getvymo.com/

What you will do at Vymo

From young open source enthusiasts to experienced Googlers, this team develops products like Lead Management System, Intelligent Allocations & Route mapping, Intelligent Interventions, that help improve the effectiveness of the sales teams manifold. These products power the "Personal Assistant" app that automates the sales force activities, leveraging our cutting edge location based technology and intelligent routing algorithms.

A Day in your Life 

• Design, develop and maintain robust data platforms on top of Kafka, Spark, ES etc.
• Provide leadership to a group of engineers in an innovative and fast-paced environment.
• Manage and drive complex technical projects from the planning stage through execution.
  
  

What you would have done  

• B.E (or equivalent) in Computer Sciences
• 6-9 years of experience building enterprise class products/platforms.
• Knowledge of Big data systems and/or Data pipeline building experience is preferred.
• 2-3 years of relevant work experience as technical lead or technical management experience.
• Excellent coding skills in one of Core Java or NodeJS
• Demonstrated problem solving skills in previous roles.
• Good communication skills.