Azure Data Engineer

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August 28

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SAPSOL Technologies Inc. : Systems and Process Solutions for your Enterprise

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Enterprise • SaaS • Artificial Intelligence

SAPSOL Technologies Inc. is a leader in innovative business transformation, expertly integrating ERP systems, AI, cloud computing, and DevOps to deliver cutting-edge solutions for businesses of all sizes. Specializing in S/4HANA implementation, system migration, and managed support services, SAPSOL ensures seamless integration and optimization of business processes. The company offers advanced business intelligence tools for actionable insights, enabling smarter decision-making and performance enhancement across key operational areas. SAPSOL excels in rapid go-to-market strategies, managing complex global rollouts with precision. Their expertise in process optimization, automation, change management, emerging technology, cloud, AI, and analytics transforms supply chains, financial reporting, and customer service to enhance efficiency and reduce costs. SAPSOL also provides a range of services including security, cloud, and big data analytics, supporting enterprises in staying agile and competitive. The SAPSOL Product Innovation Lab (SPIL) drives advancements like HireRig, an AI-driven recruitment platform. Based in North America, SAPSOL collaborates with startups and invests in disruptive ideas, leveraging partnerships with SAP, Oracle, IBM, and Microsoft technologies to shape the future of business transformation.

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• We are seeking a highly skilled Data Engineer with expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL. • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based). • Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases. • Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and deliver clean, reliable data. • Optimize performance of data workflows within Azure environments. • Implement data quality checks, lineage tracking, and monitoring processes. • Follow and contribute to data governance, security, and compliance policies. • Participate in code reviews, documentation, and continuous improvement initiatives.

🎯 Requirements

• Microsoft Certified: Azure Data Engineer Associate (or higher) • Azure Data Factory • Azure Databricks (PySpark/Scala preferred) • Strong working knowledge of Oracle databases • Strong working knowledge of PostgreSQL databases • Writing efficient SQL queries • Building ETL/ELT workflows and data orchestration on Azure • Experience with Azure storage solutions (Blob Storage, ADLS Gen2) • Strong understanding of data modeling, warehousing concepts, and performance optimization • Familiarity with CI/CD pipelines in Azure DevOps (plus) • Excellent problem-solving skills and ability to work independently or in a team