Software Engineer - Big Data Engineer (Java/Python.)

Expertise and Skills

• Domain Expertise
• Must have strong cloud Implementation expertise in cloud architecture.
• Must have very good knowledge of storage, network, compute services.
• Have sound knowledge in multi-zone, region-based designs .
• Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security. 
• A quick learner, who can pick up new technologies, program languages and frameworks in a short span of time


• Technical Skills
• Experience in software development using programming languages & tools/services: Java or Python or Scala and strong in SQL.
• Experience in big data processing tools/languages and distributed computing  using Spark Scala or similar. Experience with orchestration tools: Apache Airflow or similar tools.
• Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.
• Agile scrum experience in application development is required. Strong knowledge  in AWS S3, PostgreSQL or MySQL.
• Deployment and automation: Terraform, Cloud Formation would be a plus.
• Strong knowledge  in  Compute: EC2, EMR, AWS Lambda.
• Strong knowledge in Gitlab /Bitbucket.AWS Certification is a plus

Responsibilities

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• Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud with an emphasis on quality, best-practice coding standards, and cost-effectiveness.
•  Build platform reusable code and components that could be used by multiple project teams. Provide cloud integration development support to various project teams. Leverage modern design patterns and architectural principles to build platform reusable code and components that can be used across projects and teams.
• Write both unit and integration tests, and develop automation tools for daily tasks
• Support product owner in defining future stories and tech lead in defining technical requirements for new initiatives
• Build rapid technical prototypes for early customer validation of new technologies
• Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines Collaborate with cross-functional teams and stakeholders to align development objectives with broader business goals