Databricks Engineer
1 day ago
Must have skills:
- Hands-on experience with Databricks platform, including Delta Lake/ Lakehouse architecture
- Person should be familiar with Python / Pyspark code (not needed a developer)
- Knowledge of data structures, data modeling, ETL/ELT, and data warehousing.
- SQL basic in data querying and troubleshooting / manipulation.
Key asks for the role:
- We need a candidate who can drive high-level design and solutioning based on established patterns. The person will collaborate closely with Solution Architect team.
- At this level, the candidate will not be working as a full-time developer but should be familiar with Python code and able to perform code reviews, debugging, and mentoring of junior developers.
- Hands-on experience with Databricks and its implementation is required. The candidate should also have a strong understanding of Delta Lake/Lakehouse architecture, including underlying storage and related aspects.
- Databricks offers data, analytics, and AI/ML capabilities, but we are primarily looking for expertise in Databricks data engineering and related functionalities. ML experience will be considered an added advantage.
- SQL: The candidate should be able to write efficient SQL queries and troubleshoot issues effectively.
Good to have skills:
- Expertise in Azure (Data Factory, Data Lake Storage).
- Proficient in Git/Azure DevOps & CI/CD.
- Knowledge of data governance, quality & security.
- Experience in data warehousing, dimensional modelling & scalable solutions.
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