Software Engineer, Big Data
Mumbai, India
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.This position is responsible for participating as a developer in highly-complex or business-critical applications, as well as testing, and supporting them as needed.
Job Responsibilities:
- 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.
- Conduct hands- on development of data analytics in line with reporting needs as reference implementation for the team.
- Verify accuracy, performance, scalability, stability, cost-effectiveness and maintainability of team delivery.
- Perform hands-on technology spikes following standard architecture, design patterns and company policies, standards and best practices.
- Develop design specifications, continuous build and deployment strategy to drive Agile methodology.
- Recommend changes on project design concepts to improve efficiency.
- Coach and mentor junior developers on design and technical issues, and support development of systems where needed.
- Setup and manage expectations with consultants engaged in the projects.
Tech Stack Requirements:
- Java, Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive,
- SQL, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow.
Role Requirements (Essentials)
- Bachelor’s degree in computer science, engineering (any), or related (foreign equivalent degree acceptable), plus 3-5 years of experience in the job offered or 5 years of progressively- responsible post-baccalaureate experience as a professional developer in information technology solutions development, or related. Having studied statistical methods and operation research is a plus
- 3 to 5 years of experience in Java with a mastery of object-oriented design principles;
- 2 to 3 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 Streaming, and Git.
Preferred
- Knowledge of Agile software development methodology
- 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.
- Demonstrated effective analytical, oral and written communication, project management, and strategic problem-solving and solution-finding skills.
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Tags: Agile Airflow Ansible AWS Big Data Computer Science Data Analytics Docker Engineering Git GitLab Hadoop Kubernetes Linux MongoDB NoSQL Oracle PostgreSQL RDBMS Research Scala Spark SQL Streaming Terraform Testing
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