Data Engineer Intern: Real-Time Pipelines & Dashboards

Bayut | dubizzle; United States; On-site; USD 12,155 - 24,310; Full time

Job summary

Bayut | dubizzle in the United Arab Emirates is seeking a Data Engineer intern to participate in end-to-end data lifecycle projects—from raw data integrations to data modelling and data products.

You will learn to build and operate both batch and real-time data pipelines in a modern cloud-based data warehouse environment, collaborating with product, tech, finance and other teams to enable data-driven features.

Qualifications

• Bachelor’s degree in CS, engineering, math, physics or related quantitative field.
• Knowledge of relational and dimensional data models.
• Knowledge of terminal operations and Linux workflows.

Responsibilities

• Raw data integrations with primary and third-party systems.
• Data warehouse modelling for operational and application data.
• Development in Amazon Redshift cluster.
• SQL development as part of agile team workflow.
• ETL design and implementation in Matillion ETL.
• Design and implementation of data products enabling data-driven features or business solutions.
• Data quality, system stability and security.
• Coding standards in SQL, Python, ETL design.
• Building data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability.
• Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising and others.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data.

Skills

Data modelling

SQL

Python

ETL design

Data quality

Data visualization

Education

Bachelor's degree in computer science, engineering, math, physics or related quantitative field

Tools

Matillion ETL

Amazon Redshift

Periscope Data

Job description

Bayut | dubizzle in the United Arab Emirates is seeking a Data Engineer intern to participate in end-to-end data lifecycle projects—from raw data integrations to data modelling and data products.

You will learn to build and operate both batch and real-time data pipelines in a modern cloud-based data warehouse environment, collaborating with product, tech, finance and other teams to enable data-driven features.