Python Developer

Requirements:

• Bachelor's degree in engineering with a specialization in computer science or a related field.
• 5+ years of experience as a software engineer in a product development setting.
• Love of technology and experience with one or more programming languages: Java and Python.
• Experience in full-stack development, including designing APIs and integration patterns, implementing security, and implementing frameworks for unit and end-to-end testing.
• Experience with microservices architecture.
• Experience in one or more frameworks like FastAPI, Spring, GRPC, Flask, etc.
• Extensive experience in a test-driven development environment.
• Understanding of CI/CD practices, including code check-in policies, automated unit tests, automated code deployments, etc.
• Ability to grasp new technologies and use them effectively to create industrial-strength software.

Preferred Qualifications:

• Good communication skills. You can communicate well in the English language with product managers, your team members, and external stakeholders to understand their needs and convey yours in a clear, precise mannerverbally or in writing.
• Strong collaboration skills. You have demonstrated the ability to work with both senior and junior technical professionals and get work done. You quickly earn the trust of the people you work with. People enjoy and have fun working with you.
• Deadline oriented. You understand that deadlines are meant to be met. Challenges will surface, and obstacles and roadblocks will cause delays, but you plan for them in advance and still ship your features on time to meet your commitments.
• Bias for action. Your default setting is to take action and not wait for things to happen. You love to learn about new technologies and advancements in the software industry.

Benefits at 314e Corporation:

• Medical Benefits
• Office Game space
• Referral Program
• Holiday parties

Job Title: Java Spring Boot Engineer

📍 Location: Bangalore

🧾 Experience: 3–4 Years

📝 Employment Type: Contract (1 Year + Extendable)

Required Skills & Qualifications:

• Strong expertise in Java, Spring Boot, and backend development.
• Hands-on experience with PHP.
• Good understanding of data structures and algorithms.
• Experience with GraphQL and RESTful APIs.
• Proficiency in working with SQL & NoSQL databases.
• Experience using Git for version control.
• Familiarity with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, Azure).
• Exposure to monitoring and logging tools like Grafana, New Relic, and Splunk.
• Strong problem-solving skills and ability to work in a collaborative team environment.

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.

• This role will be responsible for building, reviewing, deploying and maintaining the software solutions.
• Meeting with the development team to discuss user interface ideas and applications.
• Development experience in the CHATWOOT (https://www.chatwoot.com/) and other omnichannel tools.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.

·        Proven work experience as a Ruby on Rails developer

• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.
• Experience with user interface design.
• Experience with browser-based debugging and performance testing software.

·        Demonstrable knowledge of front-end technologies such as JavaScript, HTML, CSS and jQuery

·        Experience developing highly interactive applications

·        A firm grasp of object oriented analysis and design

·        Passion for writing great, simple, clean, efficient code

·        Good knowledge of relational databases

·        Working knowledge of NoSQL databases

Requirements:

• Energetic self-starter, with a desire to work in a startup environment.
• Proficient in advanced Java programming skills.
• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
• Nice to have understanding on MQ and DB
• Good hands on in Complex Event Processing systems.
• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
• Real world experience working with large datasets and NoSQL database technologies
• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
• Experience developing RESTful APIs for complex data sets
• Knowledge of container based development & deployment (e.g. Dockers, rkt)
• Expertise in software security domain, a plus