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GeekSoft Consulting

GeekSoft Consulting

Data Engineer - Databricks & Treasury Data Lake

Bangalore, INOn-sitePermanentFull-time

Posted Sep 23, 2026

  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.


Requirements

  • Data Engineer with strong expertise in Databricks and Treasury Data Lake to design and develop scalable data pipelines, transform data across multi-layer architectures, and ensure high-quality, reliable datasets for downstream consumers.
  • Design, build, and maintain scalable ingestion pipelines from multiple Treasury and enterprise source systems, ensuring secure and efficient data movement into the data lake.
  • Transform and process data across Bronze, Silver, and Gold layers, applying best practices for data modeling, cleansing, and enrichment.
  • Implement automated data quality checks, validation, monitoring, and alerting to ensure data accuracy, integrity, and reliability.
  • Ensure the continuous availability and trustworthiness of datasets supporting downstream analytics, reporting, and Treasury operations.
  • Continuously optimize pipeline performance, scalability, and cost efficiency across Databricks and cloud-native components.
  • Hands-on knowledge and practical experience with AI technologies is mandatory. 


Benefits

  • A challenging, innovating environment.
  • Opportunities for learning where needed.


Role snapshot

Job type

Full-time

Required skills

DatabricksTreasury Data Lake domain knowledgeScalable data pipeline developmentData ingestion from multiple enterprise and Treasury source systemsMedallion architecture (Bronze/Silver/Gold) data transformationData quality, validation, monitoring and alertingData availability, resiliency and reliability engineeringPerformance optimization and cost-efficient design for Databricks and cloud-native componentsHands-on AI technologies and practical AI implementationData modeling, cleansing and enrichmentSecure data movement and data security practicesTechnology evaluation and implementation following best practices and standardsTeam collaboration and being a productive team member

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Data Engineer - Databricks & Treasury Data Lake at GeekSoft Consulting in Bangalore | Scovai | Scovai