Dimension Data

1 week ago

Data Engineer (Python, Kafka, Hadoop, HDFS, Hive, Snowflake, Apache, Iceberg)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Migrate data from an on-prem DataLake to an AWS LakeHouse, ensuring data integrity and compatibility with modern tooling. Work with stakeholders to translate legacy data patterns and support reliable data transformation. This role requires 3–5 years of data engineering experience, with strong Python and SQL skills, and a relevant Bachelor’s or Master’s degree.

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Migrate data from an on-prem DataLake to an AWS LakeHouse.
•Ensure data integrity by partnering with stakeholders.
•Translate legacy data patterns to work with modern tools and platforms.
•Support compatibility of legacy datasets with new data systems.

Key Requirements

•Minimum 3–5 years of data engineering experience.
•Strong skills in Python and SQL.
•Experience migrating or translating legacy data patterns for compatibility with modern tools.
•Ability to engage with stakeholders to ensure data integrity.
•Bachelor’s or Master’s degree in a relevant field.

Experience:3-5 yearsData engineering

Education:Master's

Skills:Stakeholder managementData integrity focus

Tech Stack:PythonSQLAWSKafkaHadoopHDFSHiveSnowflakeApacheIceberg

Company Brief

Dimension Data

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

Website LinkedIn

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Dimension Data

1 week ago

Data Engineer (Python, Kafka, Hadoop, HDFS, Hive, Snowflake, Apache, Iceberg)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Migrate data from an on-prem DataLake to an AWS LakeHouse.
•Ensure data integrity by partnering with stakeholders.
•Translate legacy data patterns to work with modern tools and platforms.
•Support compatibility of legacy datasets with new data systems.

Key Requirements

•Minimum 3–5 years of data engineering experience.
•Strong skills in Python and SQL.
•Experience migrating or translating legacy data patterns for compatibility with modern tools.
•Ability to engage with stakeholders to ensure data integrity.
•Bachelor’s or Master’s degree in a relevant field.

Experience:3-5 yearsData engineering

Education:Master's

Skills:Stakeholder managementData integrity focus

Tech Stack:PythonSQLAWSKafkaHadoopHDFSHiveSnowflakeApacheIceberg

Company Brief

Dimension Data

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

Website LinkedIn