What are the responsibilities and job description for the Remote Data Engineer II | US Citizen or Green Card Holder ONLY position at GlobalSource IT?
Data Engineer II
Full-Time | Remote
Summary :
As a Data Engineer II, you will design and develop scalable, metadata-driven ETL / ELT data pipelines within the Azure ecosystem, primarily using Azure Synapse, Spark, SQL, and Python. Your responsibilities include integrating data from diverse sources, such as SAP S4, APIs, and other enterprise systems, to ensure efficient data flow and accurate analysis. Collaborating closely with cross-functional teams, you will optimize performance, enhance data quality, and implement data governance standards. Additionally, you will contribute to building an advanced cloud data engineering platform leveraging Azure Synapse, Azure Purview, Power BI, and SAP Datasphere, supporting the organization’s overall data engineering strategy.
Essential Functions :
Develop, optimize, and manage ETL / ELT pipelines.
Design scalable architectures for large-scale data processing within the Azure ecosystem.
Implement data integration solutions using Azure Synapse Pipelines, Azure Data Factory, and other Azure-native tools.
Integrate data from enterprise data sources (e.g., SAP, API) into cloud-based data solutions.
Establish CI / CD pipelines using Git (Azure DevOps) and related tools for automated deployment and monitoring of data solutions.
Troubleshoot, optimize, and maintain the performance of data pipelines and cloud-based platforms.
Collaborate with business and technical teams to architect robust data solutions and derive insights from data.
Apply best practices for data governance, security, and data quality using Azure Purview and other governance tools.
Document technical solutions, processes, and provide training for internal teams on the data platform.
Non-Essential Functions :
Adhere to Border States’ System Development Life Cycle (SDLC) best practice guidelines and application change management procedures.
Actively track and report on the effectiveness of deployed technologies in supporting program / project goals.
Utilize front-end reporting tools, including Power BI, for enhanced data visualization and reporting.
Perform other duties as assigned by supervisor or designate.
Qualifications :
Bachelor’s degree in Computer Science, Information Technology, MIS, Mathematics, or equivalent experience.
4-7 years of proven experience in developing technical data solutions within cloud environments, with a strong focus on Azure Synapse.
Expertise in designing and developing ETL / ELT processes using metadata-driven pipelines.
Proficient in SQL, Spark, Python, and Git for data engineering and pipeline automation.
Extensive experience with Azure cloud services, including Azure Storage, Azure Data Factory, Azure DevOps, and Azure Purview.
Hands-on experience with data quality management and governance.
Familiarity with SAP systems, including SAP Datasphere and HANA S / 4, specifically in working with Core Data Services (CDS) and HANA views.
Solid understanding of Agile methodologies and tools such as Jira.
Strong communication skills, with the ability to work effectively with cross-functional teams and explain technical concepts to non-technical stakeholders.\
Competencies :
Ability to troubleshoot and resolve complex data engineering challenges.
A team player with a passion for learning and applying new technologies and methodologies.
Skilled in working in a fast-paced environment and delivering high-quality results under pressure.
Strong problem-solving skills and resilience in overcoming obstacles.
Effective communicator who can build relationships and work well with both technical and non-technical teams.
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