SEO Team 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.

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

Job Description

The candidates for senior development role will perform the following responsibilities:

• Mentor and lead a team of developers.
• Accept ownership of teams projects and deliverables
• Should derive and design technical specifications from general product requirements.
• Advise ways and means to obtain performance metrics of applications and optimize applications. 
• Experience own and work on end to end on an application.
• Set Milestones and deadline.
• Must possess excellent attention to detail and be able to familiarize and quickly learn new Software/ framework/ languages/ technology with ease.
• Excel in solving complex problems and exhibit independent decision making. 
• Act as an information resource and the subject matter expert for assigned areas of responsibility.
• Experience delivering software in a scrum /agile environment.

• Understand the overall requirements of the product/platform and specifically for the assigned feature/module.
• Design and Develop Software as per the product architecture and requirements.
• Code and unit testing of the feature/modules including appropriate design reviews and code inspections.
• Ensure adherence to the software development processes.
• Investigates software/system problems to isolate the root cause and provides innovative solutions.
• Collaborates with cross-functional teams (locally & globally) to ensure product releases meet quality, performance, scalability, reliability, and schedule goals.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering or Information Technology.
• 6-10 years of experience in software development using J2EE technologies
• Experience with Core Java, JEE5 (JSP/JMS/Web Services/Servlets), Spring, Hibernate, REST, JBOSS/Tomcat Servers
• 1+ years of experience using Azure IOT technologies
• Work experience in Azure IoT Suite: IoT HUB, Azure TSI, DPS, Service Bus, Azure Functions, Azure KeyVault, MCI/AKS, Azure AD
• Knowledge in Azure Data Lake, Azure SQL
• Strong understanding of object-oriented programming
• Knowledge in ReactJS, JQuery is a plus
• Good knowledge in SQL -preferable
• Must have worked in agile/scrum environment
• Good understanding of software development processes, preferably for a regulated medical devices environment (ISO13485/FDA)
• Ability to work with cross-functional and remote teams.
• Flexibility to work on different areas of the product/platform
• Good written and verbal English communication
• Ability to travel as needed (minimal)

Knowledge of Node.js and frameworks available for it (such as Express, StrongLoop, etc depending on your technology stack)

Understanding the nature of asynchronous programming and its quirks and workarounds

Good with REST Api and integration of many API's in our backend

Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments
Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform

Creating database schemas that represent and support business processes
Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git
Good Code writing skills 
Integration with Shopfy, Zoho, ERP, CRM is a plus.

Lunavo Labs is a US-based remote software product experience company headquartered in SanDiego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.lunavolabs.com)