Job description for Data Engineer at Dewasz Laundry & Drycleaning Services
Data Engineer
Job Description
Position Overview
We are seeking a Data Engineer for IlmuData to support the development and operations of enterprise data pipelines. The role focuses on Change Data Capture (CDC) ingestion from source systems into Oracle On-Premises ODS using Debezium, Solace messaging, and Python-based consumer applications running on Kubernetes.
Responsibilities
Monitor and maintain Debezium CDC connectors that capture database changes.
Troubleshoot and optimize Python consumer applications processing Solace messages.
Support and troubleshoot transformed data loading into Oracle On-Premises ODS.
Investigate and resolve pipeline failures and performance bottlenecks.
Support Kubernetes deployments, scaling, and health monitoring for consumer services.
Maintain operational runbooks and technical documentation.
Requirements
Technical Skills
Primary Technologies
Debezium (1+ years)
CDC connector configuration
Source connectors (Oracle, PostgreSQL, SQL Server)
Python (2+ years)
Data pipeline development
Consumer applications
Asynchronous programming
Error handling
Kubernetes (1+ years)
Pod management
Deployments and services
ConfigMaps and Secrets
Resource management
Troubleshooting
RDBMS (2+ years)
SQL query development
Data loading (SQL*Loader, INSERT/UPDATE scripts)
Performance tuning
Data Engineering Fundamentals
ETL/ELT pipeline design and optimization
Schema evolution management
SQL DML proficiency
Python DataFrame processing
DevOps & Tools
Docker containerization and image building
CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or equivalent)
Monitoring tools (Prometheus, Grafana, ELK Stack, or equivalent)
Git version control
Nice to Have
Oracle RDBMS (PL/SQL and SQL Loader)
Solace message broker experience
AWS cloud data services
High-throughput data pipeline performance tuning
Data governance and data lineage tools exposure
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
5+ years of experience in data engineering or backend development.
Experience supporting production systems in regulated environments.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and collaborate with cross-functional teams.
Benefits
Opportunity to work on enterprise-scale data platforms.
Continuous learning environment with exposure to modern data technologies.
Collaborative and cross-functional team culture.
Work Environment
On-premises and hybrid infrastructure.
On-call responsibilities for critical incidents.
Continuous learning and frequent technology updates.
