Junior Software Engineer

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🕒 4 days ago

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Veltris

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Veltris is a trusted technology partner that drives innovation by leveraging digital technologies, artificial intelligence, and Industry 4. 0 capabilities. The company specializes in digital product engineering, enabling organizations across various sectors to accelerate technology transformations and develop smarter, connected products. With a design thinking approach and agile software development practices, Veltris helps clients optimize their product development processes and achieve strategic advantages in the market.

📋 Description

• Monitor ServiceNow queues and provide progress updates • Develop, maintain, and support ETL/ELT pipelines using Azure Data Factory • Monitor and troubleshoot pipelines built on Azure Data Factory, Striim, and Microsoft Fabric • Perform root cause analysis of ETL failures and implement permanent fixes • Debug data transformation, ingestion, and integration issues across multiple data sources • Monitor production workflows for SLA adherence and data quality • Work with client stakeholders to understand issues, provide updates, and drive resolution • Analyze logs, pipeline executions, and performance bottlenecks • Support deployment, testing, and migration of ETL solutions across environments • Collaborate with data engineers, architects, and business teams on scalable data integration solutions • Document technical solutions, troubleshooting steps, and operational runbooks • Participate in production support and incident management activities

🎯 Requirements

• 3–4 years of experience in Data Engineering or ETL Support • Hands-on experience with Azure Data Factory (ADF) • Working knowledge of Striim for real-time data integration and CDC pipelines • Experience with Microsoft Fabric, including Data Factory, Lakehouse, or Data Engineering workloads • Strong understanding of ETL/ELT concepts and data integration best practices • Experience debugging failed ETL jobs, pipeline failures, and data quality issues • Knowledge of SQL for data validation and troubleshooting • Familiarity with relational databases and cloud-based data platforms • Understanding of production monitoring and incident management processes • Strong debugging and troubleshooting abilities • Excellent verbal and written communication skills • Ability to interact confidently with client stakeholders • Ability to prioritize multiple production issues in a fast-paced environment • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred • Preferred: exposure to Azure Data Lake, Synapse Analytics, or SQL Server; basic Python or PowerShell; CI/CD concepts; Git