JD:

The Skills That Are Key to This Role
Translate complex business and analytical needs into scalable, resilient data architectures and pipelines.
Design and implement highperformance distributed pipelines (batch & streaming) with strong SLAs, monitoring, and cost efficiency.
Build lakehouse and warehouse solutions (e.g., Delta/Iceberg/Hudi + Snowflake) with robust semantic/data models.
Endtoend ownership: requirements architecture build deploy monitor optimize.
ETL/ELT excellence with Informatica, SnapLogic, Azure Data Factory, Azure Functions, Python, and Databricks/Spark.
Azure platform proficiency, including:
Azure Data Factory, Azure Databricks, AKS, Azure Service Bus (ASB), API Management, Storage Accounts, Event Hub/Event Grid, Redis Cache.
Solid RDBMS/NoSQL experience: Oracle, SQL Server/SQL MI, MySQL,



Postgres, Cosmos DB, MongoDB.
DataOps/DevOps: CI/CD pipelines (GitHub Actions/Azure DevOps), unit/integration tests, automated data quality, and infrastructureascode (Bicep/ARM/Terraform).
Data quality & observability (e.g., Excellent Expectations/Deequ/Monte Carlo), schema evolution, partitioning, and performance tuning.
Build tools and frameworks that turn pipelines into actionable insights for key business KPIs; partner with BI/analytics teams.
Solid Agile deliverydriving epics, stories, and tasks using Agile/Scrum and Jira; excellent written and verbal communication.

📌 Data Engineer Bengaluru
🏢 Bounteous
📍 Bengaluru