Data Engineer (Amazon Redshift)

Quick Facts

• Role: Data Engineer (Amazon Redshift)

Description

You will work on end-to-end data engineering projects in AWS, mainly using Amazon Redshift. The role includes building and evolving ETL/ELT processes and data pipelines, from data integration and import to processing, layer construction, and delivering data to external systems. You will also write and optimize SQL queries to ensure performance, quality, and reliability.

Responsibilities

• Work with AWS services, primarily Amazon Redshift

• Create and evolve ETL/ELT processes and data pipelines

• Participate end-to-end: integrate and import data from sources, process it, build data layers, and expose/extract data to external systems

• Write and optimize SQL queries; ensure processing performance, quality, and reliability

• Develop competencies in tools used by the organization, including Power BI and Power Apps

Requirements

• Minimum 4 years of Data Engineering experience

• Practical experience with Amazon Redshift (key competency)

• Daily use of SQL to retrieve and analyze data, join tables, filter, and validate data correctness

• Experience building and maintaining ETL/ELT processes and data integrations across sources

• Ability to analyze business needs and translate them into technical solutions

• Ability to deliver tasks independently and collaborate with other teams

Benefits

• Flexible hours and remote work option

• Opportunity to work on interesting projects for global clients

• 80% of promotions happen internally

• 90% of leadership has a technical education

• Access to internal training and development paths

• Team events, company gatherings, and Town Hall meetings

• Support for professional personal branding

• Life insurance and private medical care for you and your family

• MultiSport card for health and fitness