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

Birlasoft
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Collaboration"]

Design and build data ingestion and transformation solutions using Azure Data Factory, Databricks, and PySpark. Implement Bronze-to-Silver models, data quality checks, and ELT/ETL pipelines that support structured, semi-structured, and unstructured data. Deliver dimensional models with SCD handling and analytics-ready KPI logic, while engineering Delta Lake features (ACID, schema enforcement/evolution, time travel) and tuning performance for reliable, high-throughput processing.

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FursaFursa
Birlasoft
Birlasoft
2 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design and build data ingestion and transformation solutions using Azure Data Factory, Databricks, and PySpark. Implement Bronze-to-Silver models, data quality checks, and ELT/ETL pipelines that support structured, semi-structured, and unstructured data. Deliver dimensional models with SCD handling and analytics-ready KPI logic, while engineering Delta Lake features (ACID, schema enforcement/evolution, time travel) and tuning performance for reliable, high-throughput processing.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and maintain ingestion frameworks (ADF/Databricks/Spark) and implement Bronze-to-Silver transformations.
  • •Architect data quality checks, schema validation, and contract rules, and integrate data from on-prem and cloud systems, APIs, and third-party sources.
  • •Develop and optimize high-throughput ELT/ETL pipelines and orchestration workflows in ADF (pipelines, triggers, linked services, runtimes, parameterized datasets).
  • •Implement scalable PySpark transformations on Databricks with Delta Lake features (ACID, schema enforcement/evolution, time travel) across the data lifecycle.
  • •Create dimensional models (star/snowflake), fact/dimension tables, surrogate keys, and SCD handling; translate datasets into analytics-ready models with consistent KPI/business logic.

Key Requirements

  • •Build ingestion frameworks using Azure Data Factory (ADF), Databricks, and Spark.
  • •Implement Bronze-to-Silver transformations aligned to the target architecture.
  • •Develop performant PySpark transformations and ELT/ETL pipelines for high-throughput data processing.
  • •Use Delta Lake capabilities including ACID transactions, schema enforcement/evolution, and time travel.
  • •Create dimensional models (star/snowflake), fact/dimension tables, surrogate keys, and SCD handling.
Skills:Collaboration
Tech Stack:Azure Data Factory (ADF)DatabricksSparkPySparkELT/ETLDelta LakeDelta Lake time travelDelta Lake schema enforcementDelta Lake schema evolutionDimensional modelingSCD handlingDatabricks GenieCI/CDNotebooksAPIs

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