Role : BIgData engineer (Scala) Location : Mountain View CA (100% day1 onsite) Responsibilities: • Design and develop scalable data pipelines using Apache Spark, Flink, and Scala • Build. and maintain data integration solutions across various data sources using AWS services. • Develop efficient, reusable, and reliable code in Java and Scala. • Implement real-time stream processing and batch processing architectures. • Collaborate with data scientists, architects, and other engineers to develop end-to-end data solutions. • Monitor and optimize performance of data workflows and job executions. • Ensure data quality, security, and compliance throughout the lifecycle. • Troubleshoot and resolve data-related technical issues. Required Skills & Qualifications: • 5+ years of professional experience in data engineering or backend software development. • Strong programming skills in Java and Scala. • Hands-on experience with Apache Spark and Apache Flink for batch and stream processing. • Solid experience working with AWS services such as S3, EMR, Lambda, Kinesis, Glue, and Redshift. • Proficiency in designing data models and working with large datasets. • Familiarity with CI/CD practices and tools like Git, Jenkins, or similar. • Strong understanding of distributed systems and cloud-native design patterns. Preferred Qualifications: • Experience with containerization tools such as Docker and orchestration using Kubernetes. • Familiarity with data lake architecture and modern data stack concepts. • Knowledge of SQL and NoSQL databases. • Experience with monitoring and logging tools like Prometheus, Grafana, or CloudWatch.