Senior Data Engineer

we are looking for a Senior Data Engineer.As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform-supporting real-time optimization, advanced analytics, and machine learning applications.What You'll Do:Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.Requirements: 4+ years in backend data engineering or infrastructure-focused software development.Proficient in Python, with experience building production-grade data services.Solid understanding of SQL Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming).Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling.Familiar with orchestration tools like Airflow, and modern CI/CD practices.Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).Bonus: Experience working with GCPBonus: Experience with data quality monitoring and alertingBonus: Experience with Snowflake, DBT, Flink, KafkaBonus: Strong hands-on experience with Spark for distributed data processing at scale.Degree in Computer Science, Engineering, or related field.This position is open to all candidates.