Azure Data Engineer
judge groupSan Jose (CA)
About the role
Our client is looking for an Azure Data Engineer with strong SQL, ETL experience building data pipelines from scratch This is a full time role that can be done remotely, no sponsorship offered.
Responsibilities:
Design and develop highly scalable and extensible data pipelines from internal and external sources Leveraging open source technologies like Spark, Python, Hadoop, and cloud native tools to curate high-quality data sets Work on cross-functional teams to design, develop, and deploy data-driven applications and products, particularly within the space of data scienceestablishing best practices with respect to data integration, data visualization, schema design, performance and reliability of data processing systems
Requirements & Qualifications:
Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C#Expert knowledge of at least one data pipeline orchestration tool, such as Azure Data Factory Expert understanding of data modeling and ETL concepts.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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