Greetings from Veltris! Please find the details below and interested can share your updated resumes at [email protected] at the earliest

- Role: Senior Data Engineer

- Experience: 5 to 10 Years

- Location: Hyderabad / Pune / Remote

- Shift Timings: 12 PM to 9 PM IST

- Notice Period: 0-15 Days Max

- No. of open positions: 2

Preferred Candidate profile:

- Experience: 5+ years in data analysis, data engineering, or a combined analytics and engineering role, preferably in a quick-paced ecommerce or B2B distribution environment.

- Microsoft Fabric: Hands-on experience with Fabric Lakehouses, Warehouses, ADF pipelines, PySpark notebooks, Delta Lake (Bronze/Silver/Gold medallion architecture), and Power BI semantic models. Familiarity with Fabric CI/CD and workspace management is a strong advantage.

- Data engineering: Demonstrated experience building and maintaining production-grade ingestion pipelines, incremental load strategies (CDC, watermark, OData), schema management, and orchestration.

Experience with event-driven architectures (Azure Service Bus, Azure Function Apps, Event Hubs) is a plus.

- Delta Lake: Working knowledge of Delta table format, transaction log, schema enforcement, schema evolution, time travel, VACUUM, and CDF (Change Data Feed) for incremental load tracking.

- SQL & Python:



Expertise in writing complex SQL queries for data extraction and transformation. Proficiency in Python for data engineering and analysis using pandas, PySpark, NumPy, and scripting ETL workflows.

- KQL: Experience writing KQL queries for Azure Log Analytics, Microsoft Fabric real-time analytics, or Azure Data Explorer dashboards.

- Cloud platform: Hands-on experience with Azure (ADF, Key Vault, Service Bus, Function Apps, Log Analytics, DevOps) and/or AWS. Familiarity with Microsoft Fabric F-SKU capacity management and FinOps cost governance is a plus.

- Data visualization: Hands-on experience with Power BI including semantic model design, DAX measures, and building certified dashboards for executive and operational audiences.

- Data governance: Familiarity with Microsoft Purview, data cataloging, lineage, sensitivity classification, and KPI certification workflows. Knowledge of data quality frameworks and DQ rule implementation.

- Version control & CI/CD: Proficiency with Git and Azure DevOps for source control, branching strategy, and pipeline-based promotion across dev and production environments.

Perks and benefits:

- Health Insurance

- Meal Card

- Car lease policy

- Internet/Mobile Allowance

- Elite Bonuses

Regards

Chiranjeevi

📌 Senior Data Engineer (Hyderabad)
🏢 Veltris
📍 Hyderabad