Lead Data Migration Engineer

NTT
London
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: ["Collaboration","Communication","Analytical thinking","Problem-solving","Mentoring"]

Lead end-to-end data migration engineering across legacy data warehouses into AWS-based data lakehouse platforms. Design, build, and optimize ETL/ELT pipelines using AWS Glue, Python/PySpark, SQL, and YAML orchestration, including bulk loads and incremental/delta migrations. Own core testing and validation—executing reconciliations, data quality checks, and automated validation frameworks—while collaborating with architects, engineers, analysts, and QA in a client-facing delivery environment.

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NTT
NTT
3 months ago

Lead Data Migration Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Closed

Job Summary

Lead end-to-end data migration engineering across legacy data warehouses into AWS-based data lakehouse platforms. Design, build, and optimize ETL/ELT pipelines using AWS Glue, Python/PySpark, SQL, and YAML orchestration, including bulk loads and incremental/delta migrations. Own core testing and validation—executing reconciliations, data quality checks, and automated validation frameworks—while collaborating with architects, engineers, analysts, and QA in a client-facing delivery environment.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design, build, and optimize data migration pipelines from legacy warehouses to AWS-based data lakehouse platforms.
  • •Develop and maintain ETL/ELT pipelines using AWS Glue, Python/PySpark, SQL, and YAML-driven configurations, including bulk and incremental/delta loads.
  • •Test end-to-end ETL solutions on AWS services and validate migrations to new AWS data lakehouse architectures.
  • •Execute SQL-based validation and reconciliation queries to ensure data completeness, accuracy, and transformation correctness.
  • •Collaborate with architects, engineers, analysts, and QA teams; mentor junior engineers and promote reusable components and automation.

Key Requirements

  • •Proven data engineering and data migration delivery experience, particularly in cloud environments.
  • •Strong focus on data pipeline testing, validation, and quality assurance for migration workflows.
  • •Ability to work across the full data lifecycle with emphasis on migration and transformation.
  • •Hands-on technical expertise with AWS cloud services (especially AWS Glue), Python/PySpark, SQL, and YAML-driven pipeline orchestration.
  • •Experience with Lakehouse concepts, including Apache Iceberg and distributed processing frameworks such as Apache Spark.
Skills:CollaborationCommunicationAnalytical thinkingProblem-solvingMentoring
Tech Stack:AWS GlueApache IcebergPythonPySparkSQLYAMLAWS S3Apache SparkETLELT

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