Azure Data Engineer

Acestack; Bellevue (WA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Acestack is seeking an Azure Data Engineer to design and maintain scalable data ingestion pipelines in Bellevue, WA. You will transform data, enforce quality, and enable analytics through standardized data models.

Join a team focused on data governance, security, and reliable data delivery for stakeholders, with CI/CD practices for rapid, safe deployments.

Qualifikationen

• Experience building scalable data ingestion pipelines.
• Data transformation, cleansing, and schema normalization.
• Data quality, validation, and reconciliation across datasets.
• Data governance, security, and compliance adherence.
• Onboarding of new data feeds and integrations.
• Analytics-ready data models for reporting.

Aufgaben

• Build and maintain scalable data ingestion pipelines for internal and external data sources.
• Perform data transformation, cleansing, and schema normalization (SKU, Partner, Channel mapping).
• Ensure data quality, validation, and reconciliation across all datasets.
• Monitor pipelines and handle failures, exceptions, and triage activities.
• Manage data refresh schedules and operational monitoring workflows.
• Support onboarding of new data feeds and integrations across systems.
• Implement standardized data models for analytics and reporting consumption.
• Ensure data governance, security, and compliance adherence.
• Maintain data lineage, auditability, and traceability.
• Ingest and standardize partner data with quality checks and reconciliation.
• Support inventory data pipelines enabling analytics and reporting.
• Collaborate with analysts and stakeholders to deliver reliable, high-quality datasets.

Kenntnisse

PL/SQL

Python

PySpark

SQL modeling

Tools

Azure Databricks

Cosmos DB

Fabric

Power BI

Power Platform

Microsoft Foundry

Azure

Jobbeschreibung

Role: Azure Data Engineer

Location: Bellevue, WA Onsite

Fulltime Permanent

Job Description

Must Have Technical/Functional Skills

Digital : Microsoft Azure; PL/SQL; Digital : Azure Databricks; Fabric; Digital : Microsoft Power BI; Digital : Microsoft Power Platform; Cosmos; Digital : PySpark; Digital : Python; Microsoft Foundry

Roles & Responsibilities

• Build and maintain scalable data ingestion pipelines for internal and external data sources
• Perform data transformation, cleansing, and schema normalization (SKU, Partner, Channel mapping)
• Ensure data quality, validation, and reconciliation across all datasets
• Monitor pipelines and handle failures, exceptions, and triage activities
• Manage data refresh schedules and operational monitoring workflows
• Support onboarding of new data feeds and integrations across systems
• Implement standardized data models for analytics and reporting consumption
• Ensure data governance, security, and compliance adherence
• Maintain data lineage, auditability, and traceability
• Ingest and standardize partner data with quality checks and reconciliation
• Support inventory data pipelines enabling analytics and reporting
• Collaborate with analysts and stakeholders to deliver reliable, high-quality datasets

Generic Managerial Skills, If any

Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD)