Lead Data Azure Engineer with Databricks

3 weeks ago


Bellevue, United States Smart IT Frame LLC Full time

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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