Lead Data Azure Engineer with Databricks
3 weeks ago
IT Experience Level: 14 Years
Data Engineer: Min 9 to 10 years
Azure: Min 6 years
ADF: Min 6 years
DataBricks: Min 6 years
Spark (PySpark, SparkSQL): Min6 years
Domain: Telecom
Must: Azure + Databricks Lakehouse
Azure experience - ADF for orchestration, ADLS for storage, AzureDevOps for CI/CD
Databricks experience - all compute/ETL leverages Databricks and is programmed leveraging Spark (PySpark, SparkSQL)
PowerShell experience - this is our scripting language of choice
SQL proficiency - it's used everywhere (TSQL, PostgreSQL)
Proficiency with parquet and delta formats
Additionally - they will need experience in:
SDLC + CI/CD - we follow a standard deployment process (dev, test, prod) that includes peer reviewed code. They need to be comfortable with standard DevOps practices.
Should have a deep understanding of indexes and partitioning.
Should be proficient optimizing code for performance (able to read a DAG, determine where CBO is using most resources)
Should be proficient in writing code in a matter that it can run repeatedly and produce the same state (we have a custom SQL Deployment framework)
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