Remote Data Engineer / Apache Airflow Specialist

Description:

• Intetics Inc. is a global technology company that provides custom software application development, distributed professional teams, software product quality assessment, and digital solutions.
• The company utilizes a proprietary business model called Remote In-Sourcing®, along with advanced platforms for technical debt reduction and measurable quality management.
• The position is for a Data Engineer / Apache Airflow Specialist at a senior level.
• The role involves working with technologies such as Apache Airflow, Python, Flask, Elasticsearch, Unix/Linux, Oracle, PostgreSQL, and GitLab.
• The workload is approximately 1100 hours per year, and the position is remote, allowing work from anywhere.
• Candidates must have an advanced level of English and a technical degree.
• The specialist will design, implement, and optimize data pipelines, manage database performance, and support Elasticsearch integration for efficient data retrieval.
• Responsibilities include ensuring smooth deployment pipelines in GitLab and collaborating with a cross-functional engineering team.

Requirements:

• Candidates must have at least 3 years of experience in Apache Airflow DAG orchestration.
• A minimum of 5 years of experience in Python with a focus on ETL, and experience with Flask API is a plus.
• At least 3 years of experience in Elasticsearch, specifically in data indexing and optimization.
• A minimum of 3 years of experience in Unix/Linux scripting and operations is required.
• Candidates should have at least 3 years of experience with Oracle or PostgreSQL, ideally both.
• A minimum of 3 years of experience in implementing GitLab pipelines for build, test, and deploy stages is necessary.
• Advanced English proficiency and a technical degree are required.

Benefits:

• The position offers the flexibility of remote work, allowing candidates to work from anywhere.
• Employees will have the opportunity to work on a data-driven project focused on large-scale ETL workflows and performance optimization.
• The role involves collaboration with a cross-functional engineering team, enhancing professional development and teamwork skills.
• The company provides a supportive environment for continuous learning and growth in advanced technologies.