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Job Description

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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