Posted 13 June, 2026
Senior Data Engineers (Snowflake , ADF , ETL ,Python , Data Model)
Tranzeal Inc.
Bangalore, Karnataka, IN
Full Time
Reference: 26-00299-1238-1
Required Qualifications:
Budget: 22-24 LPA
Location: Any Cognizant office - Hybrid
" 4 5 years of experience as a Data Engineer.
" Expertise in Snowflake including architecture, RBAC, warehouses, micro-partitioning, query tuning, Snowpipe, Streams & Tasks.
" Strong proficiency in complex SQL including CTEs, window functions, and optimization.
" Experience building data pipelines in Azure Data Factory.
" Working knowledge of Azure Functions including triggers, logging, monitoring, and scaling.
" Experience designing scalable, reliable ETL/ELT pipelines.
" Understanding of C# (especially for Azure Functions).
" Experience with event-driven or streaming architectures using Event Hub, Service Bus, or Kafka-like patterns.
" Familiarity with Terraform, Bicep, or ARM templates.
" Experience with dbt or SQL-based transformation frameworks.
" Experience with observability, alerting, and monitoring for data systems.
" Implementing CDC patterns using Streams & Tasks.
" Real-time ingestion from Azure Event Hub or Service Bus into Snowflake.
" Managing schema drift, late-arriving data, and idempotent processing.
" Optimizing real-time queries and incremental models.
" Warehouse right-sizing and workload pattern tuning.
" Using auto-suspend/resume effectively.
" Reducing scan volume via pruning and clustering.
" Monitoring Time Travel/Fail-safe retention and storage.
" Query optimization for efficient compute usage.
" Using resource monitors to prevent runaway costs.
Azure Cost Optimization:
" Designing efficient ADF pipelines minimizing compute and run time.
" Optimizing Azure Functions execution time and memory.
" Reducing unnecessary data movement.
" Leveraging Azure Cost Management for monitoring and forecasting.
Budget: 22-24 LPA
Location: Any Cognizant office - Hybrid
" 4 5 years of experience as a Data Engineer.
" Expertise in Snowflake including architecture, RBAC, warehouses, micro-partitioning, query tuning, Snowpipe, Streams & Tasks.
" Strong proficiency in complex SQL including CTEs, window functions, and optimization.
" Experience building data pipelines in Azure Data Factory.
" Working knowledge of Azure Functions including triggers, logging, monitoring, and scaling.
" Experience designing scalable, reliable ETL/ELT pipelines.
Preferred Qualifications
" Proficiency in Python for transformation and automation." Understanding of C# (especially for Azure Functions).
" Experience with event-driven or streaming architectures using Event Hub, Service Bus, or Kafka-like patterns.
" Familiarity with Terraform, Bicep, or ARM templates.
" Experience with dbt or SQL-based transformation frameworks.
" Experience with observability, alerting, and monitoring for data systems.
Streaming & Real-Time Data Engineering
" Experience with Snowpipe Streaming for sub-minute ingestion." Implementing CDC patterns using Streams & Tasks.
" Real-time ingestion from Azure Event Hub or Service Bus into Snowflake.
" Managing schema drift, late-arriving data, and idempotent processing.
" Optimizing real-time queries and incremental models.
Cost Optimization Expertise
Snowflake Cost Optimization:" Warehouse right-sizing and workload pattern tuning.
" Using auto-suspend/resume effectively.
" Reducing scan volume via pruning and clustering.
" Monitoring Time Travel/Fail-safe retention and storage.
" Query optimization for efficient compute usage.
" Using resource monitors to prevent runaway costs.
Azure Cost Optimization:
" Designing efficient ADF pipelines minimizing compute and run time.
" Optimizing Azure Functions execution time and memory.
" Reducing unnecessary data movement.
" Leveraging Azure Cost Management for monitoring and forecasting.
