Data Engineer

Data Engineer

Location: Alpharetta, GA - (Face to Face Interview-Day1 onsite role)

Duration: Longterm

What you'll do:

• Create and support ETL pipelines using Java, Python and SQL.
• Create infrastructure using Terraform.
• Assist in developing deployment strategies and CI/CD pipelines for projects.
• Write automated unit, integration, and end-to-end tests for projects.
• Advocate and implement development best practices.
• Write technical documentation to capture architecture, processes, policies, procedures, installation, and instructions.
• Expect to collaborate with other teams for insights, located in different countries.

What experience you need:

• 2+ years of Java (8 and above), python software development experience including Apache Spark, Apache Beam.
• 2+ years of experience with Maven or Gradle build management, Git
• 2+ years of experience working with Relational and/or NoSQL databases
• 2+ years of experience working with Big Data
• 2+ years of experience working with Unit testing (JUnit)
• 2+ years of experience with one of the Public Cloud technologies: Google, AWS, Azure
• Conversational english

What could set you apart:

• Experience with Dataflow, Apache Beam, Airflow and Big Query.
• Ability to enhance, refactor, and continuously improve the codebase.
• Ability to prototype technologies to benchmark, analyze, present and discuss alternatives.
• Experience with frequent and incremental development, testing, and deployment.
• Show high motivation and have a real passion for learning and actively researching new ways of working and new technologies.
• Have relevant certifications like Big Data, professional Data Engineer, Google Cloud Certification, etc.