NodeJS Developer

Company: PluginLive

About the company:

PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.

Role Overview:

The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.

Job Description

Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform

Location: Chennai

Minimum Qualification:  Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.

Experience:  7+ years of experience in data engineering, with at least 3 years in a leadership role.

CTC:  20-30 LPA 

Employment Type:  Full Time

Key Responsibilities:

Data Strategy and Vision:

• Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
• Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
• Define and prioritize the data roadmap, aligning it with business goals and customer requirements.

Data Infrastructure Development:

• Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
• Ensure the reliability, scalability, and performance of the data infrastructure.
• Implement best practices in data management, including data governance, data quality, and data security.

Data Pipeline Management:

• Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
• Ensure data is accurately and efficiently processed and available for analytics and reporting.
• Monitor and optimize data pipelines for performance and cost efficiency.

Data Analytics and Reporting:

• Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
• Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
• Ensure data is easily accessible and usable by stakeholders across the organization.

Team Leadership:

• Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
• Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
• Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.

Stakeholder Collaboration:

• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Communicate effectively with non-technical stakeholders to explain data concepts and progress.
• Participate in strategic planning and decision-making processes.

Skills Required:

• Proven experience in designing and building scalable data infrastructures and pipelines.
• Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
• Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
• Solid understanding of database technologies, both SQL and NoSQL.
• Experience with data modeling, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications:

• 
  
• Experience in HR technology or recruitment platforms.
• Familiarity with machine learning and AI technologies.
• Knowledge of data governance and data security best practices.
• Contributions to open-source projects or active participation in the tech community.

Required Skills:

"Overall 5-9 years of experience

Experience of working in Agile projects and aware of key Agile concepts

Good Problem solving and communication skills

Team player, hard working and innovative in his approach

Having stretch mindset and eagerness to learn/adopt new frameworks.

Expertise in Java 8 version or later

Hands on coding experience in Core Java ,Java, J2ee

Should have experience in Spring Boot

Should have good experience in Hibernate, Spring DATA JPA

Experience in RestFull Web services and microservices

Hands on knowledge in JMS and messaging Queues

Hands on Knowledge in Open API spec / swagger 2.0

Hands on knowledge in writing unit test cases using java test framework (Junits, Mockito)

Strong Ability to troubleshoot vulenerabilities and sonar issues and remediate with appropriate sonar rules compliant solution.

Should have hands on experience in SDLC

Should have an excellent client interaction background with Smart, Innovative, Enthusiastic, Proactive

Nice to Have

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Knowledge in kafka integeration

knowledge in OCP4 configs and deployment

Knowledge on secret Vaulting

Experience working in Agile project

• Knowledge on CI/CD process.

We are looking for software development engineers to design and develop the backend systems for our consumer and partner-facing applications. You will work on massively scalable distributed systems and solve complex engineering problems

Reporting structure - Engineering Manager-Java

• Computer Science fundamentals in object-oriented design, design patterns, data structures, algorithm design,
• Proficiency with Java, Rabbit MQ, Kafka.
• Proficiency in Mongo DB, Cassandra, Redis.
• 3+ years of experience contributing to architecture and design in a product setup Information Technology
• Understand customer needs by collaborating with Product Managers and Business stakeholders
• Development, delivery and support of large-scale, distributed software applications and tools
• Use software engineering best practices to ensure a high standard of quality and maintainability for all deliverables
• Work in an agile, start-up-like development environment, where you are always working on the most important stuff.
• Take initiatives and come up with new ideas to invent solutions for customer