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Within this role, you would be a hands-on leader in data engineering functions including schema design, data movement, data transformation, encryption, and monitoring: all the activities needed to build, sustain, and govern big data pipelines. Responsibilities · Own development of large-scale data platform including operational data store, real time metrics store and attribution platform, data warehouses and data marts for advertising planning, operation, reporting and optimization · Wider team collaboration and system documentation · Maintain next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability · Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated integration testing Experience with · Min 5+ years of professional programming in Scala or Python, Java and SQL · Min 5+ years experience developing in Amazon Cloud technologies including S3, Glue, EC2, and Kinesis · Min 5+ years of big data design experience with technical stacks like Spark, Flink, Druid, Click house, Single Store, Snowflake, Kafka, Nifi and AWS big data technologies · Proven track record with cloud infrastructure technologies, at least two of Terraform, K8S, Spinnaker, IAM, ALB, and etc. · Min 3+ years of professional MicroStrategy · Experience building highly available and scalable services for public consumption · Experience with processing large amount of data at petabyte level · Strong knowledge of system design, application design and architecture Required Education, Experience, Skills and Training · Bachelor or above in computer science or EE · Demonstrable analytical / problem solving skills · Demonstrated experience building solid, testable, and maintainable clean code · Great communication, collaboration skills and a strong teamwork ethic with both technical and non-technical audiences Job Type: Contract Salary: $60.00 - $65.00 per hour Schedule: 8 hour shift Experience: Informatica: 1 year (Preferred) SQL: 1 year (Preferred) Data warehouse: 1 year (Preferred) Apply Job!