Snowflake Data Engineer with DBT
- Randomtrees
- 5 - 8 years
- Chennai
- 9 months ago
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Job Description
Essential Skills & Experience:
- Snowflake:
- Minimum of 5 years of experience is preferred.
- Familiarity with virtual data warehouses.
- Experience with Snowpipe.
- Understanding of Snowflake scaling behaviors.
- DBT (Data Build Tool):
- Minimum of 1.5 years of experience is required.
- Basic understanding of DBT concepts, including creating models, setup, and testing.
- Candidates with 5 years of Snowflake experience and basic DBT knowledge are still considered good fits, as DBT is a new technology for the team.
- SQL:
- Strong SQL skills are crucial, ranging from basic transformations to complex queries.
- Candidates must be comfortable finding solutions independently when encountering unfamiliar query formats or issues (e.g., searching for solutions online and testing them). An independent mindset is highly valued.
- SSIS Packages:
- Ability to reverse engineer SSIS packages to understand their functionality.
- Experience in optimizing and rewriting SSIS package logic in Snowflake (e.g., converting a 15-step SSIS process into a single step in Snowflake). This requires strong data modelling skills.
- Data Competency: High data competency is essential.
- Communication Skills: Good communication skills are required.
- Solutioning & Documentation: Experience in both solutioning and documentation.
Desired (Nice-to-Have) Skills:
- Python: Any experience with Python.
- PySpark: Any exposure to PySpark.
- Analysis/Requirement Gathering: While not a primary requirement, the individual will be given opportunities to drive analysis if they demonstrate the competency and confidence. Onshore resources typically handle most analysis and business-facing tasks.
Other Important Points:
- Data Modeling: Implicitly required due to the 5 years of Snowflake experience and the need to reverse engineer SSIS packages and rewrite them efficiently in Snowflake. Candidates are expected to have driven data modeling conversations and potentially smaller-scale data model designs in their past roles.
- Cloud Experience: Any cloud experience (AWS or Azure) is acceptable, as the interviewer believes that once familiar with one cloud environment, learning another is straightforward. There is no specific preference for Azure.
- Rate Restrictions: As per Kaushal's team Role & responsibilities
Preferred candidate profile
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: RandomtreesLocation(s): Chennai+ View Contact
Keyskills: Snowflake DBT Data Build Tool SQL SSIS Packages Python
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