Nagpur, Maharashtra, India
Information Technology
Full-Time
CNR EdTech
Overview
Job Title : Senior Data Engineer (Snowflake)
Location : Pune / Gurgaon (Hybrid / Onsite)
Experience : 57 years
About The Role
Agivant is seeking a highly skilled Senior Data Engineer (Snowflake) to join our growing data team. You will be responsible for building and scaling robust, secure, and efficient data infrastructure to enable data-driven decision-making across the organization. This is an exciting opportunity to design and optimize modern ELT/ETL pipelines and collaborate with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
Location : Pune / Gurgaon (Hybrid / Onsite)
Experience : 57 years
About The Role
Agivant is seeking a highly skilled Senior Data Engineer (Snowflake) to join our growing data team. You will be responsible for building and scaling robust, secure, and efficient data infrastructure to enable data-driven decision-making across the organization. This is an exciting opportunity to design and optimize modern ELT/ETL pipelines and collaborate with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ELT/ETL data pipelines, ensuring data accuracy, completeness, and timeliness.
- Partner with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
- Build and optimize data pipelines using Snowflake, ElasticSearch, AWS S3, and NFS.
- Develop and maintain data warehouse schemas to support analytics and BI needs.
- Implement data quality checks, monitoring, and automation to ensure data integrity.
- Collaborate with data scientists and analysts to ensure data accessibility and usability for advanced analytics.
- Stay updated with industry best practices in CI/CD, DevSecFinOps, and Agile/Scrum methodologies.
- Contribute to the continuous enhancement of our data warehouse architecture.
- Bachelors degree in Computer Science, Engineering, or related field.
- 5+ years of professional experience as a Data Engineer with a strong focus on ELT/ETL processes.
- Minimum 3+ years of hands-on experience with Snowflake data warehousing technologies.
- Minimum 3+ years of experience in building and maintaining Apache Airflow ETL pipelines.
- 3+ years of professional Python experience for data manipulation and automation.
- Working experience with ElasticSearch in data pipeline applications.
- Strong SQL skills and expertise in data modeling techniques.
- Solid understanding of AWS S3 and cloud-based data storage solutions.
- Experience working with NFS and file storage systems.
- Excellent problem-solving, analytical, and communication skills with a collaborative mindset.
- Exposure to CI/CD pipelines, DevSecFinOps, or similar modern engineering practices.
- Knowledge of modern data architecture patterns and real-time data streaming.
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