JobHabor

Azure Data Engineer

Booz Allen Hamilton

Location
Remote
Workplace
Remote
Employment
Full Time
Salary
USD 77,600–176,000/yr
Apply on the employer’s site

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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