Senior Data Engineer - Snowflake DB

Job Description :

Title : Senior Data Engineer (Snowflake)

Experience : 3 to 6 years

Location : Pune/ Hyderabad

Must Haves :

Snowflake

Airflow

ETL

ELT

Role And 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

Mandatory :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.

- At least 3+ years of exp in Snowflake data warehousing technologies.

- At least 3+ years of exp in creating and maintaining Airflow ETL pipelines.

- Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.

- Working experience with Elastic Search and its application in data pipelines.

- Proficiency in SQL and experience with data modelling techniques.

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

- Experience working with NFS and other file storage systems.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.