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Bounteous Accolite - Immediate Role For Data Engineer - L-A-GFIIB

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Hybrid

Bounteous Accolite - Immediate Role For Data Engineer - L-A-GFIIB

Bounteous

Bounteous Accolite - Immediate Role For Data Engineer - L-A-GFIIB

Skills

SQL QueriesBig DataMongoDBData EngineeringPythonPostgreSQLMySQLKafkaRedisSnowflakeMicrosoft Azure Cosmos DBDatabricksGitData AnalysisGitHubJiraConfluenceOracleAWS KinesisTerraformAzure

3 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,200,000 – ₹2,000,000 / year

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

10 August 2026

What they need


Hello,

Greetings from Bounteous*Accolite!!

Please find the below Job description and revert me back with the following details @[email protected]

Total and Relevant Experience:

Current CTC:

Expected CTC:

Notice Period/Last working day Date:

Current Location:

Prefer Location:

Current Company:

Number of many companies worked with:

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Reason for leaving current job:

Job Description

Work Location - Chennai (Hybrid Mode)

Experience 4+ years

The Expertise You Have

  • 5+ years in Data Engineering / Big Data / Platform Engineering with endtoend delivery of large enterprise programs.
  • Multi****tenant database and data modeling expertise designing 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 administration triaging 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 high****performance 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 deliverydriving epics, stories, and tasks using Agile/Scrum and Jira; excellent written and verbal communication.

Thanks and Regards,

Arvinder Kaur

Recruitment Team

Cell: +91-9108283392 | Email ID: [email protected]

W: bounteous.com

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