Senior Data Engineer (Databricks Expert)

NTT
Athens
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Analytical","Problem-solving","Communication","Stakeholder management","Collaboration"]

Design, develop, and maintain scalable data pipelines and data warehouse solutions on the Microsoft Azure platform to enable BI, reporting, and analytics. Build ETL/ELT processes, ensure data quality and governance, and develop semantic models and datasets for Power BI. Optimize performance, scalability, and cost, collaborate with architects and stakeholders, and troubleshoot production issues while mentoring junior team members.

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FursaFursa
NTT
NTT
1 month ago

Senior Data Engineer (Databricks Expert)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 days agoStatus: Live

Job Summary

Design, develop, and maintain scalable data pipelines and data warehouse solutions on the Microsoft Azure platform to enable BI, reporting, and analytics. Build ETL/ELT processes, ensure data quality and governance, and develop semantic models and datasets for Power BI. Optimize performance, scalability, and cost, collaborate with architects and stakeholders, and troubleshoot production issues while mentoring junior team members.
Location: Athens
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain enterprise data pipelines and integrate data from multiple sources using Azure cloud technologies.
  • •Build and optimize data warehouse solutions and implement ETL/ELT processes for reporting, analytics, and business intelligence.
  • •Develop and maintain semantic models and datasets to support Power BI reporting, including reusable DAX measures and calculations.
  • •Ensure data quality, integrity, governance, and security; optimize platform performance, scalability, and cost efficiency.
  • •Collaborate with architects and development teams, maintain technical documentation, and support production environments by troubleshooting issues and mentoring junior team members.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field (or equivalent practical experience).
  • •Minimum 6 years of experience in data engineering, big data, or cloud-based pipeline development.
  • •Strong experience designing and implementing enterprise data warehouse solutions.
  • •Proven ability to gather, analyze, and translate business and reporting requirements into scalable technical solutions.
  • •Hands-on experience with Azure Databricks, PySpark, and Delta Lake, including performance tuning for large-scale data processing.
Experience:6+ yearsBig dataData engineeringCloudAgile
Education:Master's in Computer Science, Information Systems
Skills:AnalyticalProblem-solvingCommunicationStakeholder managementCollaboration
Tech Stack:Azure DatabricksPySparkDelta LakeAzure Data FactoryAzure Synapse AnalyticsAzure Data Lake StorageMicrosoft AzurePythonSQLPower BIDAXETLELTAzure cloud

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn