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.

Key deliverables for the Python Engineer would be to writing and testing code, debugging programs and integrating applications with third-party web services using server-side logic and work well in a team to build features, be a part of the core team

What will you do?

• You will write an effective code for modularity, responsiveness, scalability and overall performance
• Experiment with new & relevant technologies and tools, for designing and implementing robust applications
• Integrating user-facing elements with server-side logic into applications
•  
• Debugging applications to ensure low-latency and high-availability.
• Improving functionality of existing systems and accommodating various data storage solutions
• Assessing and prioritizing feature requests along with implementing security and data protection solutions
• Coordinating with internal teams to understand user requirements and provide technical solutions

We would love to hear from you if :

• You have 2+ years of experience as a Python engineer at a SaaS or technology company
• You have hands-on experience with various Python technology such as Flask, FastAPI, and the latest python frameworks
• Experience in web crawling and data scraping
• Strive to craft production-level scalable python code
• Familiarity with the deployment of python services
• Knowledge of AWS services and ORM (Object Relational Mapper)
• Good communication & written skills

• Brand new Macbook
• Stock Options
• Health Insurance
• Unlimited Sick Leaves
• Passion Fund (Invest in yourself or your passion project)
• Wind Down

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu
• Strong practical knowledge of Python and its libraries.
• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
• Good knowledge of CI/CD and DevOps practices
• Good Experience of Python with Django/ Scrapy/ Flask frameworks.
• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.
• Strong analytical thinking and problem-solving skills.
• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
• Preferred if had an OpenEdx platform experience or any LMS platform. 

• 6+ years of experience with expertise in Django CMS, Python, REST framework, AI framework
• MySQL Db usage, SQL queries
• Experience in using scraping tools.
• Microservices
• Docker and Kubernetes hands-on experience
• AWS Redis cache integration
• Deployment on AWS cloud, auto-scale
• Work will be rotational Shifts/ UK Shift
• Must be flexible to work on weekends/stretch for some hours

• 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
• 2+ years of hands-on experience with Postgress, MongoDB.
• Experience with cache-store / message broker like Redis / RabbitMQ / Kafka
• Experience with AWS
• Experience in front-end development using react.js is a plus.
• Proficient understanding of code versioning tools, such as Git / Mercurial /bitBucket.
• DevOps knowledge to deploy code in production and hands-on experience with docker / Kubernetes.
• Self-motivated and a good team player.
• Good communication and interpersonal skills.
• Bachelor’s Degree in Engineering from a reputed Institute

Responsibilities

• Lead the development of the backend systems for our first product
• Build reliable, secure and performant backend systems
• Drive test coverage and continuous delivery automation within the team
• Mentor and provide feedback to teammates

Requirements

• 5+ years of software development experience
• Strong computer science fundamentals
• Deep and wide knowledge of Java ecosystem
• Can write code that is readable, maintainable, secure and performant
• Know the importance of tests and how to approach writing different types of tests
• Good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling
• Comfortable writing highly concurrent systems
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries

Desired Skills and Experience

• Golang , Java , Python , Ruby

Hands -on experience with the following technologies is needed:

1. Good Knowledge of Python & Django Framework.
2. Experience in Git or any Version control systems.
3. Experience in SQL Databases like MySQL and PostgreSQL.
4. Knowledge of NoSQL Databases like Mongodb.
5. Worked on Django based live projects.
6. To implement microservices using Django rest framework.
7. Handling various technical aspects like coding of modules using the given design specifications
8. Debugging and fixing the defects as well as analyzing its root cause.
9. Deployment(AWS) and monitoring of the live project.
10. Mentoring junior developers.

Knowledge/Experience of AWS will be a big plus

Preferred Qualifications: 
B-Tech-IT/B-Tech -CSE/BCA or any degree in the relevant field

Required Experience: 
3 – 6 Years

Why join the navy when you can be the pirate?

Get onboard this ship & let's make KYC and onboarding easier than ever!

We want to ensure that our tech is successfully consumed by end users easily.

We are looking forward to work with you.

We would love to have you for the following reasons :

• Strong hold in python based backends such as Flask & Django
• Knowledge of backend principles, patterns, and best practices
• Aware of the open-source ecosystem and the libraries available.
• Proficient understanding of Git
• Must have written Unit, Integration and UI Test Cases
• Understanding of Cloud hosting (AWS,Azure) principles and interface guidelines
• Experience in working with distrubuted data using REST APIs, JSON and other technologies
• Potential interns with experience in containers will hold an advantage.
• Experience in Kafka & ELK will be an advantage.
• Experience of 1-2 years.