Data Engineer

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

Key Responsibilities:

● 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.

Required Skills and Qualifications:

● 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.

Good to Have:

● Experience with containerization (Docker, Kubernetes).

● Familiarity with workflow orchestration tools (Airflow, Dagster, etc.).

● Exposure to infrastructure-as-code tools (Terraform, CloudFormation).

● Familiarity with data versioning and table