Python Lead

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.

Job description 

• Lead design, development, implementation and maintenance of applications & back-end  services demonstrating service-oriented architecture. 
• Design, build, test, and maintain scalable APIs, services, and systems within the  platform. 
• Choose the right Data Structures, tools, and tech stacks and do high-level design with guidance. 
• Build, develop, mentor, review code and coach junior team members. 
• Extensive programming experience with cross-platform development: Java/SpringBoot,  Javascript/Node.js, Express.js or Python 
• Extensive knowledge of ElasticSearch, MongoDB or Cassandra, Redis, SQS and data  streaming (Spark, Flink, Kafka streams, storm, etc.). 
• Well versed in Kafka Understanding cloud native technologies such as Docker and  Kubernetes, capable to cover full development lifecycle including CI/CD 
• Experience in use of source code management system like GIT, bitbucket and build tools  like ant, maven, Gradle or make. 
• Take great pride in Code quality and developer productivity. 
• Put in Microservcies architecture in place that paves road for scalability, efficiency,  observability, and availability. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale  with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Write algorithms and services to influence personalisation and recommendation from a  real-time recommendation engine for both home feed to surface most viral videos +  video e-commerce 
• Build machine learning pipelines using Kinesis,Spark/Flink/TensorFlow etc 
• Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software  architecture 
• Proven experience in handling large infrastructure and distributed systems Liaison with Product Management, DevOps, QA, Client and other teams Your Experience Across The Years in the Roles You’ve Played 

• Have total or more 7 - 9 years of experience with 2-3 years in a startup. Have B.Tech or M.Tech or equivalent academic qualification from premier institute. Experience in Product companies working on Internet-scale applications is preferred 
• Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native  service and infrastructure services to design solutions.
• Follow Cloud Native Computing Foundation leveraging mature open source projects  including understanding of containerisation/Kubernetes. 

We Value Engineers Who Are :

• Customer-focused: We believe that doing what’s right for the creator is ultimately what  will drive our business forward. 
• Obsessed with Quality: Your Production code just works & scales linearly 
• Team players. You believe that more can be achieved together. You listen to feedback  and also provide supportive feedback to help others grow/improve. 
• Pragmatic: We do things quickly to learn what our creators desire. You know when it’s  appropriate to take shortcuts that don’t sacrifice quality or maintainability 

Chingari Benefits 

The glory. Almost too much responsibility. 

A fun-life balance 

A ticket on our rocket ship to the moon. �� 

What if, you had a chance to build something iconic?

We are looking for a high-performing Lead Developer to build our Ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well written code, testing, and excel at coming up with simple approaches to complex problems.

Our work culture is #overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.

Job Responsibilities:

• Understand project requirements, writing bug free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
• Integrate Django backend with third party API
• 100% Hands on role
• Make architecture decisions that contribute to maintainable systems
• Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
• Responsible to drive and support Ecommerce project activities and ensure marketplace implementation, deepen customer engagement, satisfaction, and user engagement
• Reverse engineer for debugging errors in code and ensure quality control in the process.
• Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
• Documentation and reference preparation for users by writing operating instructions including changes and revisions.
• Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity, make decisions quickly and move nimbly, celebrate diverse ideas, Succeed and fail together as a team

Qualifications:

• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed University
• 5 to 10 years of experience working in eCommerce domain, specifically at-least 3-5 years of experience working in Django and Python.
• React and/or Angular for front end
• Proficiency in MongoDB and MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
• Integration experience with Payment gateway, shipping company and VAT, database concepts, Experience of web services
• Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
• Analytical, debugging, and troubleshooting skill with proven experience troubleshooting and fixing production bugs
• Experience in writing unit testing and test case automation.
• Ability to operate in Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.

Sr. Backend Developer | Disruptive HR Tech Platform | GGN

What you need to have:

Experience: 4 to 7 years

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity