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

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

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.