Graphic Designer

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.

We let you manage feature flags and remote config across web, mobile and server-side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features

We are looking to grow! We are a remote-first team, looking to scale our Open Source Feature Flagging, Remote Config and A/B Testing product. With both SaaS and on-premises customers, we are investing in making our platform more accessible to large organizations

We are looking for a Python / Full Stack Engineer, with experience working on large-scale web platforms, who can help build out our existing APIs and web dashboard. 

Must haves

● Python, JavaScript

● REST API design and development

● Django / Django Rest Framework (or similar web framework, e.g. Flask, FastAPI)

● PostgreSQL

Nice to haves

● ReactJS

● OracleDB, MySQL DB

● Mobile Technologies (Flutter, Kotlin for Android, Swift)

We also have SDKs written in most modern programming languages so the more polyglot, the better! We are an Open Source company first and foremost, so working with our community on GitHub to build features, fix bugs and cultivate pull requests is also on the job spec.

Job Description:

Responsibilities:

·      Participate in the entire application lifecycle, focusing on coding and debugging

·      Ability to design and document the product features, codes.

·      Self-driven and ability to take up ownership of things

·      Write clean code to develop functional applications, automation scripts, test cases

·      Troubleshoot and debug applications

·      Collaborate with developers, cross-functional teams to identify issue, new features and come up with solutions

·      Gather and address technical and design requirements

·      Provide training and support to internal teams

·      Build reusable code and libraries for future use

·      Ability to sync with other developers, designers to identify issues, new features and improvements

Requirements and skills:

·      Solid understanding of linux development environment and systems

·      Expert level knowledge of Python along with frameworks like Django, flask

·      Proficient in writing unit test cases using Pytest framework.

·      Expert level knowledge of SQL databases like MySQL and PostgreSQL

·      Good knowledge of design principles and databases

·      Knowledge of front technologies like Typescript, ReactJs

·      Knowledge of Caching techniques using Memcached and Redis

·      Experience of using queueing service line Kafka

·      Solid understanding of microservices architecture

·      Knowledge of AWS cloud services

·      Expert in serverless technologies like lambda along with API gateway

·      Knowledge of Git, Jira, CI/CD pipelines and containerization like docker

·      Knowledge of logging and monitoring tools like Grafana or Newrelic

Experience - 5- 12 years

Compensation - fixed pay + Variable pay (Revenue sharing)

No. of vacancies – 3 (Doha, UK, South Africa market)

Employment Type - Full-Time Consultant

. Candidates should have sales experience of any of the above market.

. Candidate should have sales experience in the IT services/Data industry, solution selling to BFSI /Banking Industry.

. Doha candidate should be able to speak Arabic. (Candidate already settled in Doha/Dubai will be preferred.)

. Candidates who have experience to work in UK and South Africa market should be willing to travel or ready to relocate after some time.

Job Highlights -

. S/He will be responsible for generating new revenue by prospecting and signing brand new clients, as well as growing business volume with them via expansion into new buying centers/divisions.

. S/He will manage multiple client relationships and be responsible for the end-to-end sales process and revenue cycle.

. Identify new opportunities and manage end-to-end sales pipeline and process with new prospects within specified industry vertical markets.

. Identify organizations/Lines of Business and their key decision makers in need for analytics services.

. Work hand-in-hand with sales leaders and consulting colleagues to articulate DPA’s differentiation, value proposition; and highlight business benefits and value.

. Formulate and drive demand generation campaigns to achieve business goals.

. Structure and negotiate contract and SOW (Statement of Work) commercial terms and conditions terms with prospective business partners.

. Actively contribute to DPA’s thought leadership and provide proactive input for developing next generational offerings and solutions in Analytics.

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.