Senior Data Engineer

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🕒 January 21

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Veltris

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • Healthcare • B2B

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

• Architect, build, and maintain enterprise-scale data pipelines using Hevo and cloud data platforms • Lead SQL-based data transformation and optimization for high-volume telecom datasets (network KPIs, usage, billing) • Design and enforce data modeling standards using DBT, including fact/dimension models and telecom KPIs • Develop executive-level dashboards and operational reports in Tableau and Amazon QuickSight • Partner with network, billing, product, and business intelligence teams to translate telecom requirements into analytics solutions • Ensure data accuracy, latency, and availability for near–real-time and batch reporting use cases • Establish and monitor data quality checks, SLAs, and alerting mechanisms • Review and mentor junior data engineers and analytics engineers • Drive best practices for performance tuning, cost optimization, and scalability • Own documentation, lineage, and governance for critical telecom data assets

🎯 Requirements

• 6+ years of experience in data engineering or analytics engineering • Advanced SQL expertise with large-scale, high-velocity datasets • Hands-on experience with Hevo or comparable ELT platforms • Strong experience using DBT for production-grade data modeling • Proven experience building dashboards in Tableau and Amazon QuickSight • Deep understanding of data warehousing and data models • Experience working with cloud-based data platforms, preferably AWS • Knowledge of Telecom domain is a bonus

🏖️ Benefits

• Remote job opportunity