Azure Databricks Specialist (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

Birlasoft
Pune, Mumbai, Noida, Chennai, Bengaluru
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 4-7 yearsSkills: ["Collaboration","Mentoring","Stakeholder management","Data quality mindset","Performance optimization"]

Build and optimize Azure-based data platforms using Databricks and PySpark. Own ingestion and ELT/ETL workflows with Azure Data Factory, designing Bronze-to-Silver transformations, data quality checks, and contract rules. Integrate data from on-prem, cloud, APIs, and third-party sources, implement Delta Lake features, and tune performance across clusters. Collaborate with platform teams and stakeholders to deliver production-ready analytics solutions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Birlasoft
Birlasoft
1 day ago

Azure Databricks Specialist (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and optimize Azure-based data platforms using Databricks and PySpark. Own ingestion and ELT/ETL workflows with Azure Data Factory, designing Bronze-to-Silver transformations, data quality checks, and contract rules. Integrate data from on-prem, cloud, APIs, and third-party sources, implement Delta Lake features, and tune performance across clusters. Collaborate with platform teams and stakeholders to deliver production-ready analytics solutions.
Location: Pune, Mumbai, Noida, Chennai, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build and maintain ingestion frameworks using ADF, Databricks, and Spark, including Bronze-to-Silver transformations.
  • •Architect and implement data quality checks, schema validation, and contract rules.
  • •Design and optimize high-throughput ELT/ETL pipelines for ingestion, transformation, and curation across data types.
  • •Integrate data from on-premise and cloud systems, APIs, and third-party sources.
  • •Develop orchestration workflows in ADF (pipelines, triggers, linked services, integration runtimes, and parameterized datasets) and implement Delta Lake capabilities with performance tuning.

Key Requirements

  • •4+ years of data engineering experience with hands-on exposure to the Azure data ecosystem.
  • •At least 3 years’ Databricks project experience on Azure Data Platform (ADF, ADLS, Azure SQL) and Databricks (DLT/Delta Lake, Spark, Workflows, Unity Catalog).
  • •At least 2 years’ hands-on experience building data pipelines using Azure Data Factory (ADF).
  • •At least 2 years’ experience developing PySpark-based transformations in Databricks.
  • •Strong SQL skills including writing complex queries, performance tuning, and working with large datasets.
Experience:4-7 yearsData engineeringAzureDatabricksData pipelines
Skills:CollaborationMentoringStakeholder managementData quality mindsetPerformance optimization
Tech Stack:Azure DatabricksDatabricksPySparkAzure Data Factory (ADF)SQLSparkDelta LakeDelta Lake ACIDSchema enforcementSchema evolutionTime travelBronze to SilverADLSAzure SQLDatabricks WorkflowsUnity CatalogDatabicks GenieAzure DevOpsCI/CD

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