Data Engineer

NTT
Lima
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: []

Design, build, and support data engineering solutions within the Data & Analytics area. You will develop ETL pipelines using Python, Spark, and PySpark, and process data with Databricks using lakehouse/lake architecture, Delta tables, and workflows. Work with cloud platforms such as Azure, AWS, or GCP and contribute to projects requiring strong real-time data knowledge. Full-time role in Lima with training and development.

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FursaFursa
NTT
NTT
9 months ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design, build, and support data engineering solutions within the Data & Analytics area. You will develop ETL pipelines using Python, Spark, and PySpark, and process data with Databricks using lakehouse/lake architecture, Delta tables, and workflows. Work with cloud platforms such as Azure, AWS, or GCP and contribute to projects requiring strong real-time data knowledge. Full-time role in Lima with training and development.
Location: Lima
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Pay and Benefits

Perks:Health InsuranceMeal AllowanceTrainingIndefinite Contract

Key Requirements

  • •4+ years of data engineering experience.
  • •Experience developing ETL pipelines with Python, Spark, and PySpark (2–3 years, intermediate/advanced).
  • •3+ years of experience with Databricks for data processing (lakehouse/lake architecture, Delta tables, workflows).
  • •3+ years of cloud experience with Azure, AWS, or GCP.
  • •Cloud certifications; knowledge of real-time is desirable.
Experience:4+ yearsData engineering
Tech Stack:PythonSparkPySparkDatabricksDelta LakeAzureAWSGCP

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