Birlasoft

1 month ago

Data Engineering-Azure-FTE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Azure Data Engineer with Databricks and PySpark responsible for designing, developing, and deploying data pipelines using Azure services (Data Factory, Databricks, PySpark, SQL). Build scalable data pipelines and data source integrations, create technical specifications, and develop modern data warehouse solutions with Azure Data Lake and Databricks. Collaborate with BI/analytics and business teams to handle structured and unstructured data.

Location: Pune

Workplace: Onsite

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Perform design, development & deployment using Azure services (Data Factory, Databricks, PySpark, SQL).
•Develop and maintain scalable data pipelines and build new data source integrations to support increasing data volume and complexity.
•Create technical specification design and application interface design.
•Develop Modern Data Warehouse solutions using Azure Data Lake, Azure Databricks and PySpark.
•Collaborate and engage with BI & analytics and the business team.

Key Requirements

•10 to 13 years of experience in Azure data engineering or related roles.
•Minimum 2 years of project experience in Azure Databricks.
•Minimum 2 years of experience in Azure Data Factory (ADF).
•Minimum 2 years of experience in PySpark.
•Experience in designing technical specifications and application interfaces.

Experience:10-13 years

Skills:CommunicationProblem-solving

Tech Stack:AzureDatabricksPySparkSQLAzure Data FactoryAzure Data Lake

Company Brief

Birlasoft

Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn

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Birlasoft

1 month ago

Data Engineering-Azure-FTE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Perform design, development & deployment using Azure services (Data Factory, Databricks, PySpark, SQL).
•Develop and maintain scalable data pipelines and build new data source integrations to support increasing data volume and complexity.
•Create technical specification design and application interface design.
•Develop Modern Data Warehouse solutions using Azure Data Lake, Azure Databricks and PySpark.
•Collaborate and engage with BI & analytics and the business team.

Key Requirements

•10 to 13 years of experience in Azure data engineering or related roles.
•Minimum 2 years of project experience in Azure Databricks.
•Minimum 2 years of experience in Azure Data Factory (ADF).
•Minimum 2 years of experience in PySpark.
•Experience in designing technical specifications and application interfaces.

Experience:10-13 years

Skills:CommunicationProblem-solving

Tech Stack:AzureDatabricksPySparkSQLAzure Data FactoryAzure Data Lake

Company Brief

Birlasoft

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn