Data Engineer: AI-Ready Data Pipelines & Governance

Cummins Inc; Saddar; Presencial; PKR 1 800 000 - 3 400 000; Tempo integral

Resumo da oferta

Cummins Inc. in Pakistan seeks a data engineering professional to support, develop and maintain a data and analytics platform. You will process, store and make data available to analysts and other consumers, collaborating with business and IT teams to enable agile data delivery at scale.

The role emphasizes building robust data pipelines, data modeling, governance and metadata management, with experience in ETL/ELT, cloud-based technologies, and Agile practices.

Qualificações

• Experience developing and supporting data integration, ETL/ELT processes, and data pipelines.
• Knowledge of data modeling, SQL, data quality, metadata management, and data governance.
• Experience in Agile, cross-functional teams collaborating with product, engineering, analytics, and business stakeholders.

Responsabilidades

• Develop and maintain enterprise data products by building data pipelines and curated datasets.
• Apply Data-as-a-Product principles to create governed, discoverable data assets.
• Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers for AI-ready data products.

Conhecimentos

ETL/ELT

Data pipelines

SQL

Data governance

Cloud-based

Agile

Data modeling

Metadata management

Data quality

IoT

Formação académica

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or equivalent

Ferramentas

Spark

Scala/Java

Map-Reduce

Hive

HBase

Kafka

SQL

Descrição da oferta de emprego

Cummins Inc. in Pakistan seeks a data engineering professional to support, develop and maintain a data and analytics platform. You will process, store and make data available to analysts and other consumers, collaborating with business and IT teams to enable agile data delivery at scale.

The role emphasizes building robust data pipelines, data modeling, governance and metadata management, with experience in ETL/ELT, cloud-based technologies, and Agile practices.