Data Engineer

Bounteous; Chennai District; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Bounteous is seeking an experienced Data Engineer to deliver end-to-end data platform solutions in a multi-tenant environment. You will design and implement scalable data architectures, batch and streaming pipelines, and robust data models using Azure, SQL, and Snowflake.

You will collaborate with analytics teams, own data quality, and drive DataOps practices with CI/CD and IaC. The role requires mentoring teammates and working in an Agile setup to meet business goals.

Qualifications

• 5+ years in Data Engineering / Big Data / Platform Engineering with end-to-end delivery of large enterprise programs.
• Multitenant database and data modeling expertise; designing tenant-aware schemas and robust database code.
• Advanced SQL across Oracle, Azure SQL MI, MySQL, Snowflake; strong performance tuning.
• Hands-on with cloud data platforms, especially Azure, including big data services and integrations.
• Deep experience building ETL/ELT pipelines using Informatica, SnapLogic, Azure Functions, Python targeting Snowflake.
• Proven track record of batch data processing pipelines and feature generation platforms using Azure, Python, SQL.
• Strong DataOps/DevOps for data and code: GitHub-based workflows, automated database releases, source control across SDLC.
• Experience with event/streaming (Azure Event Hubs, Kafka, Amazon Kinesis).
• Data architecture design & documentation using Confluence and draw.io; metadata management and lineage.
• Production excellence in financial services / benefits administration, incident triage and root cause analysis.
• Experience leading or mentoring teams on business-critical data platform solutions; strong stakeholder communication.

Skills

5+ years experience in data eng

Multitenant databases

Advanced SQL

Azure cloud

ETL/ELT pipelines

DataOps/CI/CD

Event streaming (Kafka/Kinesis)

Data architecture & modeling

Agile/Scrum / Jira

Mentoring teams

Tools

Informatica

SnapLogic

Azure Data Factory

Azure Functions

Databricks / Spark

GitHub Actions / Azure DevOps

Terraform / Bicep / ARM

Job description

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., Great 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.