Data Engineer

Job not on LinkedIn

🕒 September 7

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Giti2c

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🎯 Recruiter

Recruitment

Giti//c is presented as an organization with a public website that highlights job opportunities and encourages visitors to join its team. The available text emphasizes recruitment and employer branding — "Job opportunities", "Become a part of a team of the most talented professionals in the industry", and contact prompts — but provides no details about its products, services, or sector focus beyond hiring and a 2025 mention. Based on the provided content, it's primarily identifiable as an employer-facing site with a recruitment/careers focus.

📋 Description

• Design, develop and maintain scalable and reliable data pipelines and ETL/ELT processes • Develop and optimise data warehouse solutions • Develop and maintain data infrastructure, primarily on AWS, while also supporting parts of the legacy infrastructure • Develop APIs and data integrations • Contribute to the development and maintenance of real-time data pipelines using Kafka • Automate and optimise data processes and workflows • Monitor, troubleshoot and improve the reliability, performance, security and data quality of pipelines and infrastructure • Work closely with the analytics team and other stakeholders to understand data needs and deliver effective solutions • Maintain clear and up-to-date documentation for data pipelines, infrastructure and workflows • Contribute to the improvement and modernisation of existing data processes and architecture

🎯 Requirements

• 2+ years of professional experience in data engineering • Strong SQL and Python skills • Hands-on experience with AWS, including S3, Redshift, Glue and Lambda • Hands-on experience with Apache Airflow • Strong understanding of data warehousing concepts and data modelling • Hands-on experience designing, developing and maintaining production data pipelines, with a focus on reliability, monitoring and data quality • Solid understanding of relational and non-relational databases • Familiarity with Git and CI/CD practices, preferably GitLab • Experience developing APIs and data integrations • Good written and verbal communication skills • Upper-intermediate English or higher

🏖️ Benefits

• Remote work • Full-time employment

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