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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