Job Description

Integratz is driving digital transformation for B2B clients through intelligent automation with AI, systems integration, and innovative solutions. As part of our global delivery efforts, this project focuses on building scalable data platforms and pipelines that empower data-driven analysis, reporting, and decision-making among US-based and international stakeholders. You will contribute to architectural decisions, establish best practices, and collaborate with cross-functional teams in a multicultural environment to deliver production-grade data solutions that are reliable, scalable, and cost-effective.
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KEY RESPONSIBILITIES
Design, develop and maintain scalable data pipelines using Databricks and Apache Spark.
Define data architectures that support batch and streaming processing.
Integrate data from multiple sources, including databases, APIs, and cloud storage.
Optimize data solutions for performance, reliability and profitability.
Collaborate closely with data science, analytics and business teams.
Provide technical leadership and guidance on data engineering best practices.
Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.
Document data architectures, pipelines, and technical decisions.
Support production systems and troubleshoot data issues as needed.

SKILLS AND EXPERIENCE REQUIRED
Minimum 5 years of experience as a Data Engineer or in a similar position. Strong hands-on experience with Databricks and Apache Spark. Advanced SQL and Python skills. Experience working in cloud environments (preferably Azure). Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts. Ability to work independently while collaborating with distributed teams. Advanced command of English (spoken and written).

DESIRABLE SKILLS
Experience designing enterprise-scale data platforms. Experience building, supporting, and scaling production-grade data pipelines in enterprise environments. Exposure to analytics, BI, or data science workloads. Familiarity with CI/CD practices for data engineering. Strong communication skills with both technical and non-technical stakeholders. Any certification for Databricks or Apache is a plus.

BENEFITS
• Competitive salary and benefits
• Flexible work environment
• Growth opportunities and certifications.
• Inclusive and collaborative team culture.
• Access to cutting-edge tools and technologies

100% remote work: The load can be carried out from anywhere in the world.