Data Engineer I: Scalable Pipelines & Data Governance

Cummins Inc; Saddar; Hybrid; PKR 900,000 - 1,800,000; Full time

Job summary

Cummins Inc. is seeking a data platforms specialist to design, build, and maintain scalable data pipelines and storage solutions.

You will work with Business and IT teams to transform data into reliable, analytics-ready assets, ensuring quality, governance, and scalable performance across distributed environments. The role emphasizes collaboration with data scientists and engineers to enable AI-ready datasets and informed decision-making across enterprise domains.

Qualifications

• Experience developing and supporting data integration, ETL/ELT processes, and data pipelines.
• Working knowledge of data modeling, SQL, data quality, metadata management, and data governance.
• Ability to translate business requirements into scalable technical solutions with a focus on performance.
• Experience in Agile, cross-functional teams, and collaboration with product, engineering, analytics, and business stakeholders.
• Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.

Responsibilities

• Develop and maintain enterprise data products by building data pipelines, transformations, and curated datasets.
• Apply Data-as-a-Product principles with metadata, lineage, and governance for self-service consumption.
• Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to deliver AI-ready data products.

Skills

Data pipelines

SQL

Agile methodologies

ETL/ELT

Data governance

Cloud platforms

DevOps

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Spark

Hadoop

Kafka

Hive

HBase

MongoDB

Cassandra

Job description

Cummins Inc. is seeking a data platforms specialist to design, build, and maintain scalable data pipelines and storage solutions.

You will work with Business and IT teams to transform data into reliable, analytics-ready assets, ensuring quality, governance, and scalable performance across distributed environments. The role emphasizes collaboration with data scientists and engineers to enable AI-ready datasets and informed decision-making across enterprise domains.