Booz Allen HamiltonRemote
Azure Data Engineer
United States of America
Full Time
2 weeks ago
$78,000 - $176,000 USD
No H1B
Key skills
Azure Synapse AnalyticsAzure Data FactoryAzure DatabricksETL pipelinesELT pipelinesData modelingLakehouse architectureMedallion architecture patternREST APIsSaaS platformsGenesysSalesForceAzure MonitorDynatracePythonSQLT-SQLSpark SQLPySparkUNIXLinuxShell scriptingMicrosoft Azure Government cloudData quality checksPipeline monitoringReal-time dataStreaming applicationsApache Spark performance tuningQuery optimizationOracleOracle Golden GateDynamics 365 CRM dataAzure DE CertificationDatabricks CertificationShellETLELTData EngineeringAnalyticsDatabricksSparkApache SparkAzureVaultLogic AppsSaaSSalesforceCRMMentoring
About this role
Booz Allen Hamilton is a leading technology consulting firm, and they are seeking an experienced Azure Data Engineer to help clients leverage their data for impactful missions. The role involves implementing data engineering activities, developing pipelines, and guiding a multi-disciplinary team to organize and make disparate data meaningful.
Responsibilities:
- Implement data engineering activities on mission-driven projects
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
- Manage the assessment, design, building, and maintenance of scalable platforms for clients
Requirements:
- 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, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
- Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, and SaaS platforms, including 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 contribute to data engineering standards and best practices
- Knowledge of monitoring and alerting tools such as Azure Monitor or Dynatrace
- Public Trust
- Associate's degree
- Experience with Python, SQ, including T-SQL and Spark SQL, and PySpark
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with the Microsoft Azure Government cloud, including Microsoft Azure
- Experience writing data quality checks for large data sets using custom scripts in Azure Synapse or Azure Databricks
- Experience with pipeline monitoring, observability, real-time data, and streaming applications
- Experience with Apache Spark performance tuning and query optimization
- Experience with Oracle or Oracle Golden Gate
- Experience with Dynamics 365 CRM data
- Bachelor's degree in a related field
- Azure DE or Databricks Certification