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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)

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