Data Engineer - Real-Time MEM SQL & Pipelines
Summary
Data Engineer designing and optimizing scalable, real-time MEM SQL-based data pipelines and platforms, partnering with data scientists, analysts, and app teams while ensuring data quality, security, and reliability. Core stack includes SQL, data modeling, ETL, cloud platforms, and big data tools like Spark and Kafka.
Qode is seeking an experienced Data Engineer to design and optimize scalable MEM SQL-based data pipelines and platforms. You will work closely with data scientists, analysts, and application teams to deliver high-performance solutions.
The role requires strong SQL skills, data modeling knowledge, and hands-on ETL experience, with exposure to cloud platforms and big data tools (Spark/Kafka). You will ensure data quality, security, and reliability across data ecosystems.