Azure Data Engineer (Databricks) jobs in United States
info-icon
This job has closed.
company-logo

Scalence L.L.C. · 15 hours ago

Azure Data Engineer (Databricks)

Scalence L.L.C. is seeking a Data Engineer to join their dynamic team, focusing on designing and implementing data solutions using Azure Databricks. The role involves optimizing data pipelines and collaborating with development teams to ensure high-quality data processing and integration.

Information Technology & Services
badNo H1Bnote

Responsibilities

Design and implement efficient data pipelines in Azure Databricks
Optimize workflows to enhance performance and scalability
Collaborate with development teams to integrate event-driven triggers
Ensure data integrity through quality checks and error handling
Support both batch and near-real-time data processing for diverse use cases

Qualification

Azure DatabricksETL/ELT optimizationData quality checksEvent-driven data pipelinesBatchNear-real-time dataCollaboration with developersBoomiSAPWFM

Required

Applicants must be able to work directly for Artech on W2
Proficiency in designing and implementing data pipelines in Azure Databricks
Experience with optimizing ETL/ELT workflows for performance and scalability
Ability to collaborate with Java/API developers for event-driven data pipelines
Strong skills in implementing data quality checks, schema validation, and error handling
Experience supporting batch and near-real-time data flows for operational and analytics use cases
Familiarity with working with Boomi and WFM teams to enforce data contracts and canonical models

Preferred

Experience with systems such as SAP, PIPS, POS, WFM, and UKG
8-10 years of experience in the field
Skills in digital platforms, specifically Databricks

Benefits

Inclusive and diverse workplace welcoming to all individuals
Opportunities for professional growth and development
Supportive and collaborative team environment

Company

Scalence L.L.C.

twitter
company-logo
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
Company data provided by crunchbase