Senior Data Engineer

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