Our Client is company specializing in intention-based marketing. It operates through comparison portals that help users make informed purchasing decisions while generating valuable leads for partner brands and publishers.
To work with a modern stack including Java, Spring Boot, Kafka, MongoDB, Kubernetes, MySQL, Python, Streamlit (and more!) to design, build and keep our data services running smoothly;
to help shape and scale our data platform using Spark, Kafka, Snowflake, Airflow, Flink, Iceberg and other big-data frameworks;
To turn product ideas into solid technical solutions and take ownership of projects from start to finish;
To use AI-powered developer tools (like Cursor) and multi-agent frameworks to boost speed and make sure what we build fits the business needs:
To build monitoring and operational tools that keep our data reliable, fast and easy to work with;
To be part of a collaborative team: review code, share knowledge, and support each other to keep our engineering standards high.
requirements-expected :
2+ years in Big Data & Java – we’re open to solid Mid-level engineers;
Practical experience building, tuning, and running large-scale Big Data systems with open-source frameworks like Kafka, Spark, Hive, Iceberg, Airflow (and friends);
