Big Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Nielsen Full time
About the Role:

At Nielsen, we believe that career growth is a partnership. You own, fuel, and set the journey. By joining our team, you will become part of a community that will help you succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

Responsibilities:
Assist in building and testing 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.

Key Skills:
Domain expertise. Up to 3 years of hands-on software development with a bachelor's degree in computer science, engineering, or similar field. Understanding of cloud architecture/cloud implementation principles. Familiarity with storage, network, computer services, multi-zone, region-based design. A quick learner, who can pick up new technologies, program languages, and frameworks in a short span of time.

Technical Skills:
Mid-level experience in software development using programming languages & tools/services: Java or Python or Scala and SQL. Experience in big data processing tools/languages using Spark Scala is a plus. Knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML. Knowledge of AWS S3, PostgreSQL or MySQL. Agile scrum experience in application development. Understanding of Gitlab/Bitbucket. Knowledge in Compute: EC2, EMR, AWS Lambda is a plus. Exposure to orchestration tools such as Apache Airflow or similar is a plus. Deployment and automation: Terraform, Cloud Formation is a plus. AWS Certification is a plus.

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