Azure Data Engineer

Azure Data Engineer The Opportunity:  Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence.  As a data engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.  You Have:     3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics, using Azure Synapse Analytics or Azure Data Factory and Azure Databricks 3+ years of experience with direct development using Azure services such as Azure Synapse Analytics or Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, and Azure Databricks Experience building and maintaining resilient ingestion pipelines from various sources, including REST APIs, databases, event streams, and SaaS platforms such as Genesys and SalesForce Experience with data modeling Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns Experience mentoring junior engineers and contributing to data engineering standards and best practices Knowledge of monitoring and alerting tools such as Azure Monitor or Dynat race Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree  Nice If You Have:     Experience with Python, PySpark, and SQL, including T-SQL and Spark SQL Experience building automated testing frameworks that can be used to proactively catch data issues  Experience with Cloud-based testing tools, including Collibra's Data Quality Experience with distributed data or computing tools, including Apache Spark and Azure Databricks Experience writing data quality checks for large data sets using custom scripts in either Azure Synapse or Azure Databricks Experience with observability and pipeline monitoring Experience working on real-time data and streaming applications  Experience championing CI / CD practices for data pipelines deployments using Azure DevOps or GitHub Actions Knowledge of best testing practices and patterns in a Cloud environment  Ability to integrate testing protocols into monitoring applications, including Dynat race or Splunk  Vetting:   Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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