Data Engineering Lead, Campus Hiring, Digital Recruitment, SaaS Platform, PluginLive, Chennai, HR Solutions, Data Strategy, Data Infrastructure, Data Pipeline, Data Analytics, Team Leadership
Join PluginLive Technology Pvt Ltd as a Data Engineering Lead to drive the development of data infrastructure, pipelines, and analytics capabilities for their Campus Hiring Digital Recruitment SaaS Platform. Lead a team of data engineers, develop a clear data strategy, and collaborate with stakeholders to ensure alignment with business goals. Apply now!
Job Description | Details |
---|---|
Company Name | PluginLive |
Post Name | Data Engineering Lead – Campus Hiring Digital Recruitment SaaS Platform |
Employment Type | Full Time |
Job 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 |
Starting Date of Online Application | Not specified |
Last Date of Online Application | Not specified |
Job ID | Not specified |
Posting Date | Not specified |
About the PluginLive Recruitment Drive:
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.
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Role Overview For PluginLive Recruitment Drive:
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.
Key Responsibilities For PluginLive Recruitment Drive:
- 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 For PluginLive Recruitment Drive:
- 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 PluginLive Recruitment Drive:
- 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.
FAQs: Data Engineering Lead – Campus Hiring Digital Recruitment SaaS Platform
What is the role of a Data Engineering Lead at PluginLive?
The Data Engineering Lead is responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for the Campus Hiring Digital Recruitment SaaS Platform.
What are the minimum qualifications required for this role?
A Bachelor’s degree in computer science, Engineering, Data Science, or a related field is required. A Master’s degree or equivalent is a plus.
What is the experience requirement for this position?
Candidates should have at least 7+ years of experience in data engineering, with a minimum of 3 years in a leadership role.
What are the key responsibilities of a Data Engineering Lead at PluginLive?
Responsibilities include developing and communicating a clear data strategy, designing and maintaining scalable data infrastructure and pipelines, overseeing ETL processes, collaborating with data analysts and scientists, leading and mentoring a team of data engineers, and collaborating with stakeholders to understand business requirements.
What skills are required for this role?
Skills required include experience in designing and building scalable data infrastructures and pipelines, proficiency in programming languages such as Python and R, expertise in big data technologies like Apache Airflow, Hadoop, Spark, and cloud data platforms like AWS, strong analytical and problem-solving abilities, and excellent communication and leadership skills.
What are the preferred qualifications for this position?
Preferred qualifications include experience in HR technology or recruitment platforms, familiarity with machine learning and AI technologies, knowledge of data governance and data security best practices, and contributions to open-source projects or active participation in the tech community.
What is the compensation range for this role?
The compensation range for this position is 20-30 LPA (Lakhs per annum).
Is this a full-time position?
Yes, this is a full-time position at PluginLive Technology Pvt Ltd.
Where is the job location?
The job is located in Chennai, India.
How can I apply for this position?
You can apply for this position through the company’s website or recruitment portal.
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