Senior Software Engineer - Back-end (Java, Scala, Big Data)
Bengaluru, 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 Senior developer in highly-complex or business-critical applications, as well as testing, and supporting them as needed.
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.
Key Skills
- Domain Expertise
- 3-8 years of experience as a backend developer in common languages and frameworks: 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.
- E- Bachelor’s degree in computer science, engineering (any), or related (foreign equivalent degree acceptable), plus 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
- Technical Skills
- 5+ years of experience in Java with a mastery of object-oriented design principles;
- 3+ years of experience: big data using 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 Cloud Formation.
- Any level of experience in and/or knowledge of: Hadoop, Service-oriented architecture, Kubernetes, Docker, Scala, Airflow, SQL, NoSQL, Spark Streaming, and Git.
- 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.
- Mindset and attributes
- Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
- Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
- Utilizes team collaboration to create innovative solutions efficiently
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Ansible Architecture AWS Big Data Computer Science Data Analytics Docker Engineering Git GitLab Hadoop Java Kubernetes Linux NoSQL Oracle PostgreSQL RDBMS Research Scala Shell scripting Spark SQL Statistics Streaming Terraform Testing
Perks/benefits: Career development
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