Technical Lead-Data Engg (INDIA - NOIDA- BIRLASOFT OFFICE, IN)

Birlasoft
Mumbai, Pune, Noida
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 5-7 yearsSkills: ["Communication","Scalability mindset"]

Build and deploy Azure-based data engineering solutions using Databricks, PySpark, SQL, and Azure Data Factory. Design technical specifications and application interfaces, develop scalable data pipelines and data source integrations, and create modern data warehouse solutions on Azure (Azure Data Lake, Azure Databricks, Azure Stack). Support batch processing and ETL for structured and non-structured data while collaborating with BI, analytics, and business teams.

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FursaFursa
Birlasoft
Birlasoft
14 hours ago

Technical Lead-Data Engg (INDIA - NOIDA- BIRLASOFT OFFICE, IN)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and deploy Azure-based data engineering solutions using Databricks, PySpark, SQL, and Azure Data Factory. Design technical specifications and application interfaces, develop scalable data pipelines and data source integrations, and create modern data warehouse solutions on Azure (Azure Data Lake, Azure Databricks, Azure Stack). Support batch processing and ETL for structured and non-structured data while collaborating with BI, analytics, and business teams.
Location: Mumbai, Pune, Noida
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Develop and deploy data engineering solutions using Azure services including Databricks, PySpark, SQL, and Data Factory.
  • •Build scalable data pipelines and develop new data source integrations to handle increasing data volume and complexity.
  • •Create technical specification designs and application interface designs.
  • •Develop modern data warehouse solutions using Azure (Azure Data Lake, Azure Databricks) and PySpark.
  • •Develop batch processing and integration solutions for structured and non-structured data, collaborating with BI and business teams.

Key Requirements

  • •5–7 years of experience as an Azure Data Engineer (Azure Developer).
  • •2+ years of project experience with Azure Databricks (mandatory) and 3+ years experience with Azure Data Factory (ADF).
  • •Overall 3+ years of ETL experience, including data warehousing.
  • •Strong development and deployment experience with Azure services including Databricks, PySpark, SQL, and Data Factory.
  • •Good communication and an attitude to scale up.
Experience:5-7 years
Skills:CommunicationScalability mindset
Tech Stack:AzureDatabricksPySparkSQLAzure Data FactoryAzure Data LakeAzure DatabricksAzure StackETLData warehouseBatch processing

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
WebsiteLinkedIn