Cloud Data Engineer: Azure, Snowflake & Spark + DBT

PwC; United States; Hybrid; USD 150,000 - 190,000; Full time

Job summary

PwC in the United States is seeking a data engineering professional with 4–8 years of hands-on experience in modern big data platforms. The role emphasizes Azure ADLS, Hadoop, Spark, and Snowflake knowledge, plus data extraction from diverse sources and robust documentation of architecture and migration strategies.

The candidate should demonstrate strong analytical and communication skills, familiarity with ETL/ELT processes, and experience with Git-based DevOps pipelines.

Qualifications

• 4+ years of experience with Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis Services.
• Knowledge of Data Management concepts and Data Modelling.
• Experience with Hadoop and Spark.
• Experience extracting data from flat files, XML, JSON, Parquet, RDBMS and Big data appliances.

Skills

Azure ADLS

Data Bricks

Data Flows

HDInsight

Azure Analysis Services

Big Data frameworks

Hadoop

Spark

Unix Shell Scripting

Cloud data migration

DevOps practices

Tools

Git

CI/CD

Jenkins

Gitlab

CodePipeline

CodeBuild

CodeCommit

Job description

PwC in the United States is seeking a data engineering professional with 4–8 years of hands-on experience in modern big data platforms. The role emphasizes Azure ADLS, Hadoop, Spark, and Snowflake knowledge, plus data extraction from diverse sources and robust documentation of architecture and migration strategies.

The candidate should demonstrate strong analytical and communication skills, familiarity with ETL/ELT processes, and experience with Git-based DevOps pipelines.