Sr Big Data Engineer - Python, Kafka, AWS (100% Remote)

Company: Mavensoft Technologies, LLC
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 19.FEB.2021
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Summary

Role: Sr Big Data Engineer - Python, Kafka, AWS Location: Hillsboro, OR ( Remote) Duration: 12 Months Key Skills: Kafka, AWS Streaming wi...

Description

Role: Sr Big Data Engineer - Python, Kafka, AWS

Location: Hillsboro, OR ( Remote)

Duration: 12 Months

Key Skills: Kafka, AWS Streaming with Python, Big Data and Spark

Skills: Python, Apache Kafka, AWS, Amazon EMR, Database Design

Additional skills: Databases, Architecture, Business Requirements, Coding, Snowflake Schema, Database, Problem Solving, TestPlan and Integrator

  • Develops code, configures applications, and defines job schedules for high-risk, highly complex requirements.
  • Installs software and software updates for critical systems.
  • Executes and is responsible for the deployment of code across environments.
  • Approves and conducts design and code reviews. Creates critical-path, high-risk, advanced and/or cross-functional technical designs.
  • Collaborates with other teams on integration needs/design.
  • Contributes to database design and ensures consistent technical approach within the department.
  • Participates and contributes to Client's overall architectural footprint, direction, and standards.
  • Performs application support, problem solving, and issue resolution with internal and external resources.
  • Contributes to technical solutions by performing technical analysis and identifying options and solutions.
  • Contributes to the RFP process.
  • Identifies technical issues and determines options for issue resolution and risk mitigation.
  • Defines and communicates requirements for technical environments and determines the technical scope for projects.
  • Creates and applies architecture, governance, security, and global process standards to system changes and deployments.
  • Establishes, maintains, and applies coding/configuration standards and best practices.
  • May review and approve test plan, test execution, and validation of tests.
  • Conducts performance monitoring and analyze performance against benchmarks.
  • Analyze business requirements and create performance testing scenarios that ensure application performance meets customer needs.
  • Review and approve performance test results, recommendations, and tuning results.
- provided by Dice

 
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