Job Title: Senior Data Engineer
Location: Fully Remote (India)
Job Type: Payroll
Salary: ₹13 – ₹26 Lakh/Year (Annual Salary)
Duration: Long-term
Company Overview:
Agivant is a forward-thinking technology company focused on empowering data-driven decision-making across the organization. We are building a world-class data team and are on the lookout for a passionate and skilled Senior Data Engineer who thrives in a fast-paced, innovative environment.
Key Responsibilities:
- 🔧 Design, Develop & Maintain Data Pipelines
- Build robust, scalable, and efficient data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes.
- Ensure high standards for data accuracy, completeness, and timeliness in all pipelines.
- 🧠 Data Modeling & Requirement Gathering
- Collaborate with business stakeholders to gather data requirements and translate them into optimized data models and processing workflows.
- ⚙️ Work with Modern Data Stack
- Utilize tools like Apache Airflow, Elastic Search, Snowflake, AWS S3, and NFS to construct and maintain robust data infrastructure.
- Support analytics and reporting needs by designing and maintaining data warehouse schemas.
- ✅ Implement Quality & Monitoring
- Develop automated data quality checks to maintain data integrity and proactively detect issues.
- 🤝 Cross-functional Collaboration
- Partner with data scientists, analysts, and engineers to ensure that data is accessible, clean, and usable for diverse analytical use cases.
- 📈 Architectural Enhancements
- Contribute to the design and improvement of the company’s overall data warehouse architecture and performance tuning.
- 🔄 Adopt Best Practices
- Stay up to date with the latest industry standards, including CI/CD, DevSecFinOps, Scrum, and emerging technologies in data engineering.
Must-Have Skills & Experience:
- 🎓 Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 📊 5+ years of experience as a Data Engineer with strong expertise in ETL/ELT processes.
- ❄️ 3+ years of hands-on experience with Snowflake data warehousing.
- ☁️ Experience working with cloud-based storage systems such as AWS S3.
- 🐍 3+ years of professional-level experience with Python, specifically for data manipulation, automation, and scripting.
- ⏳ 3+ years of experience creating and maintaining Apache Airflow workflows.
- 🔎 Working knowledge of Elastic Search (minimum 1 year) and its integration into data pipelines.
- 💾 Familiarity with NFS and other file storage systems.
- 💡 Strong understanding of SQL and data modeling techniques.
- 🧩 Excellent problem-solving skills and the ability to think analytically.
- 💬 Strong communication and collaboration skills to work across functional teams.
Preferred Industry Tags:
- Data Engineer (Software and Web Development)
- DevOps Engineer
- Technical Specialist (Information Design & Documentation)
- Database Administrator
- Cloud Architect
