Data Engineer
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Job Description
Data Engineer responsible for designing and maintaining data ingestion pipelines for TechBiz Global's clients. Collaborating with teams to ensure effective data integration and management.
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.
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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