Azure Data Engineer: Data Pipelines & Lakehouse

Ethereum Technologies; Grand Rapids (MI); On-site; USD 100,000 - 140,000; Full time

Job summary

Ethereum Technologies in Grand Rapids, MI seeks a data engineer to design, develop, and maintain Azure-based data pipelines and enterprise-scale data lakes. You will ingest data from multiple sources, transform using mappings, and ensure data quality and governance across cloud platforms.

Responsibilities include optimizing performance, implementing CDC and incremental loads, modeling data for warehousing, and migrating on-premises solutions to Azure.

Qualifications

• Expertise in Azure Data Factory for data pipeline development and maintenance.
• Experience with Azure Data Lake Storage and enterprise-scale data lakes.
• Experience developing ETL/ELT workflows for data ingestion from multiple sources.
• Knowledge of Mapping Data Flows, SQL, and Spark technologies for data transformation.
• Experience with incremental data loads, Change Data Capture (CDC), and data validation.
• Ability to troubleshoot and optimize data pipelines for performance and reliability.
• Knowledge of data modeling, data warehousing, and cloud data platform security and governance.
• Experience supporting on-premises data migration to Azure cloud environments.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
• Develop ETL/ELT workflows to ingest data from multiple sources, including databases, APIs, flat files, and cloud applications.
• Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Configure incremental data loads, Change Data Capture (CDC), and data validation processes.
• Collaborate with data analysts, business stakeholders, and development teams to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud data platforms.
• Create technical documentation and maintain data architecture standards.
• Support the migration of on-premises data solutions to Azure cloud environments.

Tools

Azure Data Factory

Azure Data Lake Storage

Mapping Data Flows

SQL

Spark

Job description

Ethereum Technologies in Grand Rapids, MI seeks a data engineer to design, develop, and maintain Azure-based data pipelines and enterprise-scale data lakes. You will ingest data from multiple sources, transform using mappings, and ensure data quality and governance across cloud platforms.

Responsibilities include optimizing performance, implementing CDC and incremental loads, modeling data for warehousing, and migrating on-premises solutions to Azure.