
About Us:
PluginLive is an all-in-one tech platform that bridges the gap between all its stakeholders - Corporates, Institutes Students, and Assessment & Training Partners. This ecosystem helps Corporates in brand building/positioning with colleges and the student community to scale its human capital, at the same time increasing student placements for Institutes, and giving students a real time perspective of the corporate world to help upskill themselves into becoming more desirable candidates.
Role Overview:
Entry-level Data Engineer position focused on building and maintaining data pipelines while developing visualization skills. You'll work alongside senior engineers to support our data infrastructure and create meaningful insights through data visualization.
Responsibilities:
- Assist in building and maintaining ETL/ELT pipelines for data processing
- Write SQL queries to extract and analyze data from various sources
- Support data quality checks and basic data validation processes
- Create simple dashboards and reports using visualization tools
- Learn and work with Oracle Cloud services under guidance
- Use Python for basic data manipulation and cleaning tasks
- Document data processes and maintain data dictionaries
- Collaborate with team members to understand data requirements
- Participate in troubleshooting data issues with senior support
- Contribute to data migration tasks as needed
Qualifications:
Required:
- Bachelor's degree in Computer Science, Information Systems, or related field
- around 2 years of experience in data engineering or related field
- Strong SQL knowledge and database concepts
- Comfortable with Python programming
- Understanding of data structures and ETL concepts
- Problem-solving mindset and attention to detail
- Good communication skills
- Willingness to learn cloud technologies
Preferred:
- Exposure to Oracle Cloud or any cloud platform (AWS/GCP)
- Basic knowledge of data visualization tools (Tableau, Power BI, or Python libraries like Matplotlib)
- Experience with Pandas for data manipulation
- Understanding of data warehousing concepts
- Familiarity with version control (Git)
- Academic projects or internships involving data processing
Nice-to-Have:
- Knowledge of dbt, BigQuery, or Snowflake
- Exposure to big data concepts
- Experience with Jupyter notebooks
- Comfort with AI-assisted coding tools (Copilot, GPTs)
- Personal projects showcasing data work
What We Offer:
- Mentorship from senior data engineers
- Hands-on learning with modern data stack
- Access to paid AI tools and learning resources
- Clear growth path to mid-level engineer
- Direct impact on product and data strategy
- No unnecessary meetings — focused execution
- Strong engineering culture with continuous learning opportunities

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DOJ - 7th November ber.
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