The Expertise You Have

- 5+ years in Data Engineering / Big Data / Platform Engineering with endtoend delivery of large enterprise programs.
- Multitenant database and data modeling expertisedesigning tenantaware schemas and delivering efficient, robust database code and designs for websites and products.
- Advanced SQL across Oracle, Azure SQL Managed Instance (SQL MI), MySQL, and Snowflake; strong performance tuning and query optimization.
- Handson with cloud data platforms: Azure (preferred), including big data services and integrations.
- Deep experience building ETL/ELT pipelines using Informatica, SnapLogic, Azure Functions, Python targeting Snowflake and other cloud data warehouses.
- Proven track record designing, developing, and deploying batch data processing pipelines and feature generation platforms using Azure, Python, and SQL.
- Strong DataOps/CI/CD for data and code: GitHubbased workflows, automated database releases, and source control best practices across the SDLC.
- Experience with event/streaming: Azure Event Hubs, Kafka, or Amazon Kinesis.
- Data architecture design & documentation using Confluence and draw.io; metadata management and lineage.
- Production excellence in financial services / benefits administrationtriaging incidents, root cause analysis (logs/reports), and minimizing business impact.
- Experience leading or mentoring teams on businesscritical data platform solutions; strong stakeholder communication.

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.

- Strong 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.
- Strong Agile delivery—driving epics, stories, and tasks using Agile/Scrum and Jira; excellent written and verbal communication.

📌 Data Engineer (Tamil Nadu)
🏢 Bounteous
📍 Tamil Nadu