Python 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.

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

Job Description:  

Responsibilities: 

• Completing all tasks set by the supervisor and assisting wherever possible.  
• Observing existing strategies, techniques of coding, debugging, testing and adopting to the same 
• Ability to maintain composure under pressure 
• Ability to work in a team. 
• Good observation skills and a willingness to learn. 

Skills: 

• Proficiency in data structures and algorithms 
• Good problem solving and analytical thinking skills 
• Knowledge of Linux systems 
• Python coding knowledge 
• Knowledge of object-oriented programming 
• Good verbal and written communication skills.  

Requisition Raised by:  

Engineering Director 

Looking to hire a single backend engineer who will become a part of the core team, with the track to become a part of the leadership at our company.

Candidate should have worked in startups, possess strong programming skills in Python, displays a sense of ownership and is highly energetic and eager to learn state-of-the-art tech and ML.

A minimum of 2 years of relevant experience is preferred.

2022 or later year pass outs - please apply only if you have relevant full-time and at least 2 prior internships experience

Representative (not exhaustive) responsibilities:

• Assess the current design and infrastructure of the backend server, and continuously implement enhancements to make the systems more robust, reliable and responsive
• Design, implement, test, and deploy APIs with Python on Linux servers
• Enhance back-end functionality and integrate with the front end to deliver a fully functional product
• Implement and set up automated tests to periodically test backend infrastructure for reliability, security and performance
• Design new data pipelines to enable the production deployment of new models
• Mentor junior employees and interns in the company
• Additionally, interest and ability to contribute to the continuous enhancement of our state-of-the-art NLP model pipeline and Inferencing engine is a big plus
• Be ready to roll up your sleeves and participate in customer calls, understand our ICP well, do research around product features, etc.

Fast Track Your Application

Think about the ICP for ContractKen. Sign up for a trial plan, experience the product and provide feedback on how to improve the current experience of the product to add immediate value to the ICP. We don't need you to fully code any feature in its entirety and are not looking for free work. The idea is to identify folks who get** what we are trying to do with ContractKen and find faster alignment with the right candidate.

Do not apply if

You're looking for your first, real-world model building, ML/AI role. We believe that deploying existing models (open source and proprietary) in production and delivering real business value to our customers is 10x more important than hyperparameter tuning or the latest algorithm implementation. While we'd love to entertain experienced ML data scientists, the emphasis on MLOps is as much as it is on experimentation.

Requirements 

•  3-5 years of experience working on Python Environment

•  Knowledge on software development methodologies and being able to work on projects individually or as part of a team. Should be able to work with AGILE methodology
•  Knowledge of relational databases, version control tools and other development tools
•  Understanding of the threading limitations of Python, and multi-process architecture
•  Understanding of accessibility and security compliance
•  Strong interest in learning new skills/technologies and curiosity to explore various Technologies.

•  Should have strong analytical skills
•  Good communication
•  Able to integrate multiple data sources and databases into one system
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

Must Required Skills:

• Python 2/3
•  should have worked on one or more major Python web frameworks like Django.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

We are seeking a lead Python Developer to lead the backend efforts and, in the process design, develop, and deploy its customer centric applications.

The person will have the opportunity to design and build an early stage, rapidly evolving platform from scratch and carry out these primary responsibilities -

Optimize components for maximum performance across multiple devices and browsers

Write performant REST APIs for both internal and external consumption

Build micro services and their deployment process

Work with problems of scale, leveraging technologies that are distributed in nature.

Perform code reviews

Required qualifications and must have skills

Excellent analytical and problem-solving skills

Proven-deep-expertise with Python programming (4+ years of hands-on experience in Python and backend development)

Building performant and scalable applications from scratch

Experience in working with frameworks like Django, Flask, etc.

Experience with building APIs and services using REST, SOAP, etc.

Experience with any RDBMS and strong SQL knowledge

Comfortable with Unix / Linux command line

Object-oriented concepts & design patterns

Sytem and database desinging skills

Nice to have Skills

Knowledge of other programming languages beyond Python

Familiarity with managing infrastructure on AWS/GCloud

Experience with working with/building data analytics pipleline

Familiarity with NoSQL databases

Good understanding of Docker and container platforms like Mesos and Kubernetes

Security-first architecture approach

Application benchmarking and optimization

Interpersonal Attributes

You are driven by the impact your work creates

You can answer the why behind any technological choice you make

You can work independently as well as part of a team