Kafka Engineer

Data Engineer -Cleveland, oh Onsite We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable, high-quality data is available for analytics and business intelligence.

• Design, develop, and maintain ETL/ELT data pipelines.
• Build and optimize data ingestion processes from multiple data sources.
• Develop and maintain data warehouses, data lakes, and databases.
• Ensure data quality, integrity, and consistency across systems.
• Optimize SQL queries and database performance.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Monitor, troubleshoot, and resolve data pipeline issues.
• Implement data security, governance, and compliance best practices.
• Create technical documentation for data architecture and processes.
• Support cloud-based data platforms and modern data engineering solutions.

• Strong SQL programming skills.
• Python, Java, or Scala programming experience.
• Experience with ETL/ELT tools.
• Knowledge of data warehousing concepts.
• Experience with relational and NoSQL databases.
• Understanding of data modeling techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Apache Spark, Hadoop, or Kafka is a plus.
• Knowledge of Git and CI/CD practices.

For applications and inquiries,