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Nielsen Sports

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4.0

based on 183 Reviews

199 Nielsen Sports Jobs

Senior Software Engineer - Big Data

Nielsen Sports

4.0

based on 183 Reviews

5-10 years

Mumbai

1 vacancy

Senior Software Engineer - Big Data

Nielsen Sports

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Automation Testing Social Media Marketing MySQL Postgresql

+ 3 more

Job Description

Nielsen helps to deliver a set of Web Services that are scalable and highly available for our Mobile Meters. This data and its derived analytics empower clients with the intelligence they need to drive revenue, increase market share, optimize their strategies, and much more. We are looking for Senior Software Engineer - Big Data. This would be a hybrid role for Mumbai location.

Responsibilities

Software Engineering: Write clean, concise, maintainable big data jobs. Comfortable authoring code on a distributed compute platform. Author clear and purposeful stories. Drive automation at every step from code to deploy. Problem Solving Capabilities using Data Structures and Algorithms. Promote best practices in development and operations. Ability to work in Agile environment.
Testing : Author unit, integration, and end-to-end tests. Perform load, scale, and performance tests.
Architecture: Understand and critique the overall platform architecture. Implement reusable algorithmic code. Offer constructive feedback on design documents from other team members. Bring a strong focus on innovation and the use of open source technologies.

Qualifications:

5+ years of hands-on software development with a bachelor s degree in computer science, engineering or relevant field
Must have strong cloud Implementation expertise in cloud architecture.
Technologies: cloud: AWS(Must)
Workflow Orchestration: Airflow, Oozie
Containerization: Docker
Container Orchestration: Kubernetes, Swarm
Programming Languages: Scala(Preferable), Python(Preferable)
Big Data Frameworks: Spark, Hive, Flink, Hadoop, Map-Reduce
Persistence: PostgreSQL, MySQL