Competency Details ( Data Engineering )

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Jadarat Dictionary

Data Engineering

Efficiency Technical Competency

Design, build, and maintain scalable systems to collect, store, and process large datasets efficiently, creating data pipelines, ensuring data quality, and optimizing workflows for analytical and operational use, leveraging technologies such as databases, cloud platforms, and distributed systems to enable seamless data integration and accessibility.

Jadarat Code: T030

Level 1

Possesses a basic understanding of data pipelines, big data platforms, and ETL (Extract, Transform, Load) processes. Gains familiarity with data engineering tools (i.e. Hadoop, Spark, or SQL). Assists in simple tasks like data extraction or running predefined scripts under supervision to support data integration workflows.

Level 2

Supports the development and maintenance of data pipelines by configuring ETL processes and ensuring data accuracy during transfer. Assists in managing big data storage systems and performs basic debugging to resolve issues. Understands the principles of distributed computing and their application in handling large datasets.

Level 3

Independently designs and builds scalable data pipelines to handle large datasets efficiently. Integrates diverse data sources into centralized systems, ensuring data quality and reliability. Implements big data management practices using advanced tools and frameworks like Apache Kafka, Airflow, or cloud platforms to support business requirements.

Level 4

Leads the implementation of robust data engineering solutions across multiple projects. Designs scalable architectures for big data systems and optimizes data pipelines for performance and cost-efficiency. Guides teams in adopting modern tools and practices, ensuring seamless data flow and alignment with organizational goals.

Level 5

Defines and drives the organization’s strategy for data engineering, establishing industry-leading practices in building scalable and resilient data pipelines. Develops frameworks for big data management that enable seamless integration and usage across the organization. Anticipates emerging trends in data engineering to maintain a competitive edge.