Senior Data Engineer (Snowflake)

Location- Pune/ Hyderabad

Experience- 3 to 6 years

Must have :

- Experience as a Data Engineer with a strong focus on ELT/ETL processes.

- Experience in Snowflake data warehousing technologies.

- Experience in creating and maintaining Airflow ETL pipelines.

- Experience with Python languages for data manipulation and automation.

- Proficiency in SQL and experience with data modelling techniques.

- Strong understanding of cloud-based data storage solutions such as AWS S3.

Description :

- Seeking a talented and passionate Senior Data Engineer to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization.

- You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes.

Responsibilities :

- Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.

- Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.

- Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS.

- Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.

- Implement data quality checks and monitoring to ensure data integrity and identify potential issues.

- Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.

- Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering.

- Contribute to the development and enhancement of our data warehouse architecture