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Remote Full-time
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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