Data Engineer II — Data Lakes & Analytics (Lynnwood)

Crane Aerospace & Electronics, Inc.

Lynnwood, Northern (WA, KY)

Hybrid

USD 100,000 - 129,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Education reimbursement

Job summary

Crane Aerospace & Electronics seeks a Data Engineer II for its Lynnwood, WA location to build and enhance a data lake based on ERP systems. The role focuses on supporting the Data Analytics Platform and integrating data from Oracle EBS and Fusion Cloud using Azure-based services.

You will work with the IT team to define data workflows, perform data quality checks, and enable BI reporting with Power BI and Tableau, while applying SQL and ETL best practices.

Qualifications

  • Experience building Data Warehouses and dimensional models with ETL development (3-4 years).
  • Experience creating reports/dashboards with Tableau, Power BI, or QLIK.
  • Strong SQL skills including stored procedures and data modeling.
  • Familiarity with cloud services such as Azure/AWS/GCP; Python or Py-Spark is a plus.

Responsibilities

  • Develop and maintain data lake/warehouse solutions on Azure.
  • Build data integrations and KPIs to support analytics.
  • Extract, cleanse, transform and aggregate data from ERP systems to deliver analytics solutions.
  • Collaborate with IT and business teams; participate in design reviews and demos.

Skills

SQL
ETL
Azure
Python
Power BI
Tableau
Qlik

Education

Bachelor's degree in Computer Science or Engineering

Tools

Oracle EBS
Oracle Fusion Cloud
Azure Databricks
Synapse

Job description

Crane Aerospace & Electronics seeks a Data Engineer II for its Lynnwood, WA location to build and enhance a data lake based on ERP systems. The role focuses on supporting the Data Analytics Platform and integrating data from Oracle EBS and Fusion Cloud using Azure-based services.

You will work with the IT team to define data workflows, perform data quality checks, and enable BI reporting with Power BI and Tableau, while applying SQL and ETL best practices.

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