Data Engineer

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🕒 December 26, 2025

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TechBiz Global

51 - 200 employees

🎯 Recruiter

Recruitment • Software Development • Consulting

TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.

📋 Description

• Design, develop, and maintain data ingestion pipelines using Kafka Connect and Debezium for real-time and batch data integration. • Ingest data from MySQL and PostgreSQL databases into AWS S3, Google Cloud Storage (GCS), and BigQuery. • Implement best practices for data modeling, schema evolution, and efficient partitioning in the Bronze Layer. • Ensure reliability, scalability, and monitoring of Kafka Connect clusters and connectors. • Collaborate with cross-functional teams to understand source systems and downstream data requirements. • Optimize data ingestion processes for performance and cost efficiency. • Contribute to automation and deployment scripts using Python and cloud-native tools. • Stay updated with emerging data lake technologies such as Apache Hudi or Apache Iceberg.

🎯 Requirements

• 5+ years of hands-on experience as a Data Engineer or similar role. • Strong experience with Apache Kafka and Kafka Connect (sink and source connectors). • Experience with Debezium for change data capture (CDC) from RDBMS. • Proficiency in working with MySQL and PostgreSQL. • Hands-on experience with AWS S3, GCP BigQuery, and GCS. • Proficiency in Python for automation, data handling, and scripting. • Understanding of data lake architectures and ingestion patterns. • Solid understanding of ETL/ELT pipelines, data quality, and observability practices.

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