Azure Data Engineer
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Overview
Job Description
Job Title: Azure Data Engineer Azure Data Factory (ADF) Work Location: Redmond,WA-98052 Job Details: Must Have Skills: Python, SQL, (bonus: Scala), Apache Spark, PySpark, Spark SQL, Azure Databricks (notebooks, Jobs/Workflows, clusters), Azure Synapse, Delta Lake, Parquet, ADLS Gen2Nice to have skills: ETL/ELT, MERGE/upsert, partitioning, Spark performance tuning, Git, Azure DevOps / CI/CD Detailed Job Description Techniques (Data Engineering Practices) ETL / ELT Extract data from source systems Transform/clean/reshape into usable form Load into target tables (ELT = transform after loading, inside the platform) MERGE / Upsert Update existing rows when records already exist Insert new rows when they don't Handled in a single atomic operation (core Delta Lake pattern) Partitioning Split large tables by a column (e.g., date, source type) Enables partition pruning - scan only relevant data Improves query speed and reduces cost Spark Performance Tuning Handle data skew and manage shuffles Caching / persistence of reused datasets Right-size partitions; use broadcast joins Cluster sizing and resource optimization Orm Minimum years of experience 8-10 years
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