Junior Data Engineer

Akaasa Technologies
Washington, DC, United States
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Data Transformation Data Systems Document-Oriented Databases Standard Sql DataOps
+5 more
Enterprise Data Management Data Processing Data Management Data Pipelines Databricks

Job description

Client is seeking a Junior Data Engineer to support the ITSAI organization, a newly established AI & Data Engineering group. The team is responsible for building modern data platforms, establishing engineering standards, and enabling AI-driven initiatives through scalable data solutions., * Build and maintain scalable data pipelines and transformations

  • Develop and support data solutions using Databricks and dbt
  • Deploy and manage data workloads within the Azure Cloud environment
  • Collaborate with engineering teams to establish data standards and best practices
  • Support integration of enterprise data platforms with AI and analytics initiatives
  • Assist in developing reusable data engineering patterns and documentation

Requirements

This role is ideal for candidates with hands-on experience in Databricks, dbt, and Azure Cloud who are looking to grow in modern data engineering and AI-enabled environments., A junior Data Engineer with 1 4 years of experience in Databricks, dbt, and Azure, eager to work on modern cloud-based data platforms while supporting enterprise AI and analytics initiatives., * 1 4 years of Data Engineering experience

  • Strong hands-on experience with Databricks
  • Experience with dbt for data transformation and modeling
  • Working knowledge of Microsoft Azure Cloud
  • Experience building and supporting ETL/ELT data pipelines
  • Understanding of structured data processing and data integration
  • Strong SQL and data modeling fundamentals

Nice to Have

  • Experience working with unstructured/document data
  • Exposure to AI/ML or AI-enabled data platforms
  • Familiarity with data engineering best practices and reusable pipeline development

Apply for this position

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