Modoante
SwedenFull TimeSoftware Developers

Senior Software Engineer

Virtusa | Stockholm, Stockholm County, Sweden | Salary not specified

Source: JobsPipe

Required Skills

communicationazuredata-engineeringdata-sciencedevopspythonsqlgit
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Role snapshot

Work model
On-site
Language
Not specified
Experience
Not specified
Posted
Posted today
Application deadline
2026-11-18

What you'll do

Key Skills & Competencies Industry specific skills

  • Preferably background from Banking
  • Experience working with Data Products

Personal skills Communicative skills

  • Presentation skills and the ability to adapt communication to the target group
  • Very good communication and presentation skills with proven ability to collaborate with cross-functional teams

Leadership and collaboration skills

  • Ability to collaborate and work effectively in teams

Technical skills Azure Databricks with Unity Catalog

  • Expertise in Azure Databricks: Extensive experience with Azure Databricks for data engineering, data science, and analytics solutions.
  • Unity Catalog: Proficiency in using Unity Catalog for comprehensive data governance, access control, and lineage tracking across multiple environments.

Pipelines: Skilled in designing and implementing CI/CD pipelines using tools like Azure DevOps, GitHub Actions. Cloud Data Architecture

  • In-depth knowledge of Azure Cloud architecture, including services like Azure Data Lake and Blob Storage.
  • Hands-on experience in designing and deploying scalable, cloud-native data pipelines for large datasets.

Technical Proficiencies

  • Languages: Python, SQL,
  • Tools & Platforms: Azure Databricks, Unity Catalog, Data Lake, Azure SQL Database, Git, Azure DevOps,
  • Version Control: Git
  • CI/CD Tools: Azure DevOps
  • ETL: IDMC Data Integration

Experience Summary

  • 5+ years of hands-on experience in delivering end-to-end data solutions using Azure technologies.
  • Expertise in Azure Databricks with Unity Catalog for large-scale data processing and governance.
  • Advanced skills in Python and SQL for efficient data transformation and analysis.
  • Strong experience CI/CD pipelines, and working in Git-based environments for efficient deployment.
  • Driving best practices in code quality, data architecture, and DevOps.

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