Azure Data Engineer
Booz Allen Hamilton
- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 77,600–176,000/yr
Posted 4mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Implement data engineering activities on mission-driven projects
- Deploy and develop pipelines and platforms to organize data
- Guide multi-disciplinary teams in an agile environment
- Manage assessment, design, building, and maintenance of scalable platforms
Requirements
- 3+ years of experience building scalable ETL or ELT pipelines using Azure Synapse Analytics or Azure Data Factory and Azure Databricks
- 3+ years of experience with Azure services like Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
- Experience building resilient ingestion pipelines from multiple sources (REST APIs, Databases, event streams, SaaS)
- Experience with data modeling
- Experience designing and implementing Lakehouse architectures in Synapse and Azure Databricks
- Experience mentoring junior engineers and contributing to data engineering standards
- Knowledge of monitoring and alerting tools like Azure Monitor or Dynatrace
Preferred
- Experience with Python, SQL (T-SQL, Spark SQL), and PySpark
- Experience with UNIX or Linux and Shell scripting
- Experience with Microsoft Azure Government cloud
- Experience writing data quality checks for large data sets
- Experience with pipeline monitoring, observability, real-time data, and streaming applications
Skills
- IoT
- Machine Learning
- Pivotal
- Agile
- ELT
- Data Modeling
- Data Engineering
- Python
- Transact-SQL
- SQL
- PySpark
- Unix
- Linux
- Shell Scripting
- Cloud Computing
- Data Quality
- Scripting
- Real-time Streaming
- Apache Spark
- Performance Tuning
- Query Optimization
- Oracle
- Oracle GoldenGate
- Dynamics
- Customer Relationship Management
- Microsoft Azure
- Databricks
- SAP BASIS
- Biometrics
- Fraud
- Artificial Intelligence
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Logic Apps
- Azure Key Vault
- ADLS Gen2
- Genesys
- Salesforce
- Medallion Architecture
- Azure Monitor
- Dynatrace
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