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Intetics Inc. is a software development outsourcing and staff augmentation firm hiring for third-party client projects.

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Posted 8mo ago

Data Engineer / Apache Airflow Specialist

@ Intetics
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Moldova
RemoteFull Time
Responsibilities:Develop DAGs, Orchestrate pipelines, Optimize data indexing
Requirements Summary:3+ yrs Apache Airflow; 5+ yrs Python ETL with Flask API; 3+ yrs Elasticsearch; 3+ yrs Unix/Linux scripting; 3+ yrs Oracle/PostgreSQL; 3+ yrs GitLab pipelines; Advanced English; technical degree.
Technical Tools Mentioned:Apache Airflow, Python, Flask, Elasticsearch, Unix/Linux, Oracle, PostgreSQL, GitLab CI/CD
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Job Description

Intetics Inc. is a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions. Based on its proprietary business model of Remote In-Sourcing®, advanced Technical Debt Reduction Platform (TETRA™), and measurable quality management platform (Predictive Software Engineering), Intetics enables clients to achieve measurable business results.

Position Details

Position: Data Engineer / Apache Airflow Specialist
Level: Senior
Technologies: Apache Airflow, Python, Flask, Elasticsearch, Unix/Linux, Oracle, PostgreSQL, GitLab
Workload: 1100 hrs/year
Location: Remote — work from anywhere
English level: Advanced
Education: Technical degree

Role Description

Intetics is looking for an experienced Data Engineer / Apache Airflow Specialist to join our distributed team for a data-driven project focused on large-scale ETL workflows, data indexing, and performance optimization.
The specialist will design, implement, and optimize data pipelines using Apache Airflow, manage database performance on Oracle and PostgreSQL, and support Elasticsearch integration for efficient data retrieval and search operations.

You will also be responsible for ensuring smooth deployment pipelines in GitLab and collaborating with a cross-functional engineering team to enhance the quality and reliability of complex data processes.