Big Data Engineer – (Spark , Scala and Hadoop)

Location : Alpharetta, GA (Day1 onsite but hybrid )

Long Term Contract

Job Description:

• Understand the enterprise architecture within the context of existing platforms services and strategic direction.
• Digest broader enterprise, horizontal view across all technical disciplines to evaluate interoperability and incorporate it in solution architecture
• Implement end-to-end solutions with sound technical architecture, in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability.
• Drive innovative solutions within the platform to establish common components, while allowing customization of solutions for different products.
• Two (2) years of experience: big data using nosql like mongodb or Spark in developing distributed processing applications; building applications with immutable infrastructure in the AWS (Amazon Web

Services) Cloud with automation technologies like Terraform or Ansible or CloudFormation.

• Any level of experience in and/or knowledge of: Hadoop, Service-oriented architecture, Kubernetes, Docker, Scala, Airflow, SQL, NoSQL, Spark and Git.
• Demonstrated ability to architect pluggable, reusable platform components pertinent to data analytics and ingestion technologies
• Demonstrated knowledge of software development technology, principles, methods, tools, and practices and industry standards and trends; and current web and database technologies.

Job Type: Contract

Pay: $70.00 - $75.00 per hour

Schedule:

• 8 hour shift
• Monday to Friday

Ability to commute/relocate:

• Alpharetta, GA 30005: Reliably commute or planning to relocate before starting work (Required)

Experience:

• technical architecture, in Big Data analytics framework: 5 years (Required)
• big data using nosql like mongodb or Spark: 4 years (Required)
• Data warehouse: 5 years (Required)
• architecture, Kubernetes, Docker, Scala, Airflow: 5 years (Preferred)
• SQL, NoSQL, Spark and Git.: 4 years (Required)

Work Location: In person

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