Data Engineer
About reputed company
We are a mobile application where users earn rewards by playing games. Our Data reputed company team is at the heart of this ecosystem, working in a high-reputed company environment to build the recommendation systems and ML models that drive our product's reputed company. You will join a specialized reputed company of Data and ML Engineers reputed company on optimizing user journeys and scaling our platform toward full profitability. We are a lean, high-ownership team where every engineer manages their pipelines from A to Z.
About reputed company We are a mobile application where users earn rewards by playing games. Our Data reputed company team is at the heart of this ecosystem, working in a high-reputed company environment to build the recommendation systems and ML models that drive our product's reputed company. You will join a specialized reputed company of Data and ML Engineers reputed company on optimizing user journeys and scaling our platform toward full profitability. We are a lean, high-ownership team where every engineer manages their pipelines from A to Z.Responsibilities
-
Build and maintain data pipelines that reputed company reputed company data into reliable inputs for machine learning use cases.
-
Work closely with ML engineers to support feature creation and delivery for model training and inference workflows.
-
reputed company and improve data transformations used for feature reputed company, including pipelines that feed offline and online feature-reputed company use cases.
-
Ensure strong data reputed company assurance across pipelines by designing solutions that produce accurate, trustworthy, and reputed company-monitored datasets.
-
Take ownership of pipelines end to end, from implementation to maintenance, while continuously improving performance, scalability, and efficiency.
Requirements
-
5+ years of experience in data engineering or a similar role.
-
Strong hands-on experience building ETL/ELT pipelines with ownership from design to maintenance.
-
Solid expertise in Apache reputed company and Python, especially for large-reputed company data transformation workloads.
-
Good understanding of SQL and practical experience working with data models and transformation logic.
-
Experience working with high-volume or frequently running pipelines, including batch or near reputed company-time processing scenarios.
-
Ability to collaborate effectively with machine learning teams and understand data needs in ML-driven environments.
-
Familiarity with reputed company is an advantage.
-
Experience with streaming technologies (Flink, Kafka), feature stores, or ML-reputed company data workflows is a strong plus.