Data Engineer

At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Data Engineer to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

As a Data Engineer , you will play a key role in designing, building, and operating data pipelines and integrations that power our analytics, reporting, and data-driven applications. Your focus lies on reliable data ingestion, ETL-based data integration, and enabling high-quality data flows across our data platform.

Qualifications

• 3-5 years of professional experience in data engineering, working with ETL platforms (preferably Talend) for batch and API integrations.
• Very good understanding of data ingestion patterns, schema evolution, data quality principles, and data modeling.
• Strong SQL skills and a solid understanding of relational databases (PostgreSQL, Redshift, or Oracle).
• Basic Java knowledge and an understanding of software development fundamentals.
• Strong analytical and problem‑solving thinking, teamwork and a structured, proactive working style.

Responsibilities

• Design, build, and maintain scalable, resilient, and secure data pipelines, ensuring high-quality data flows and operational stability across the platform.
• Develop, operate and optimize ETL/ELT processes for batch jobs and API‑driven data integrations using Talend and implementing reusable components, connectors, and integration patterns.
• Identify, assess, and acquire relevant internal and external data sources for analytics and integration use cases while evaluating their data quality, data models, access methods, SLAs, and overall integration feasibility.
• Ensure compliance with data governance, platform standards, and security policies while proactively identifying opportunities for automation and continuous improvement.
• Collaborate closely with cross‑functional teams in an agile environment, contributing to CI/CD pipelines, version control (Git/Bitbucket), code reviews, and documentation best practices.