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. Sparktek