Databricks + PySpark - Technical Lead-Data Engg (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

Birlasoft
Mumbai, Pune, Noida, Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 2-3 yearsSkills: ["Collaboration","Communication","Technical specification design"]

Design, develop, and deploy scalable data solutions using Azure services, with hands-on expertise in Databricks and PySpark. Build and maintain data pipelines and new data source integrations to handle growing data volume and complexity. Create technical specifications and interfaces, develop modern data warehouse solutions on Azure Stack (Azure Data Lake, Azure Databricks), and deliver batch processing and structured/unstructured data integrations while collaborating with BI and business teams.

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FursaFursa
Birlasoft
Birlasoft
14 hours ago

Databricks + PySpark - Technical Lead-Data Engg (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

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

Job Summary

Design, develop, and deploy scalable data solutions using Azure services, with hands-on expertise in Databricks and PySpark. Build and maintain data pipelines and new data source integrations to handle growing data volume and complexity. Create technical specifications and interfaces, develop modern data warehouse solutions on Azure Stack (Azure Data Lake, Azure Databricks), and deliver batch processing and structured/unstructured data integrations while collaborating with BI and business teams.
Location: Mumbai, Pune, Noida, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy solutions using Azure services including Databricks and PySpark, along with SQL and Data Factory.
  • •Develop and maintain scalable data pipelines and build new data source integrations to support increasing data volume and complexity.
  • •Create technical specification designs and application interface designs.
  • •Develop modern data warehouse solutions using Azure Stack components such as Azure Data Lake and Azure Databricks with PySpark.
  • •Build batch processing and integration solutions for structured and non-structured data, collaborating with BI and analytics teams.

Key Requirements

  • •2–3 years of project experience with Azure Databricks.
  • •2–3 years of experience with Azure Data Factory (ADF).
  • •2+ years of experience with PySpark.
  • •Experience designing and maintaining scalable data pipelines and data source integrations.
  • •Experience developing modern data warehouse solutions using Azure Stack (Azure Data Lake, Azure Databricks) and PySpark.
Experience:2-3 yearsData engineeringData warehousingAzure
Skills:CollaborationCommunicationTechnical specification design
Tech Stack:AzureDatabricksPySparkSQLAzure Data FactoryData FactoryAzure Data LakeAzure DatabricksAzure Stack

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