Data Engineer

1.Snowflake - Experience in using Snowflake for data storage and analysis.

2. Apache NiFi - Proficiency in building and managing data flows using NiFi.

3. PySpark - Knowledge in large-scale data processing with PySpark.

4. DBT (Data Build Tool) - Experience in data transformation and building data models with DBT.

5. Pipeline Building - Ability to design and construct efficient and scalable data pipelines.

Qualifications

6. Experience - 7-10 years of experience in data engineering and pipeline building.

7. Certifications - Certifications in Snowflake (nice to have).

8. SQL Knowledge - Proficiency in SQL for querying and manipulating data.

9. Cloud Experience - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

10. Problem-Solving Skills