At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to 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
- Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises with an emphasis on quality, best-practice coding standards, and cost-effectiveness
- Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud.
- Build platform reusable code and components that could be used by multiple project teams.
- Understand the enterprise architecture within the context of existing platforms, services and strategic direction.
- 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.
- Develop design specifications, continuous build and deployment strategy to drive Agile methodology
- Setup and manage expectations with consultants engaged in the projects.
- Provide cloud integration development support to various project teams.
- 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 product owners to translate complex business requirements into technical solutions, providing leadership in the design and architecture processes.
- Provide expert apprenticeship to project teams on technology strategy, cultivating advanced skill sets in application engineering and implementing modern software engineering practices
- Mentor junior team members, providing guidance and support in their professional development
- Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network, and engaging actively with customers
- Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through collaborative effort
Key Skills
- Domain Expertise
- Bachelor’s degree in computer science, engineering plus 4-8 years of experience in information technology solutions development.
- Must have strong cloud Implementation expertise in cloud architecture.
- Must have strong analytical and technical skills in troubleshooting and problem resolution.
- Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security.
- 3+ years of experience: big data using Apache Spark in developing distributed processing. applications; building applications with immutable infrastructure in the AWS Cloud with automation technologies like Terraform or Ansible or Cloud Formation.
- Technical Skills
- Experience in software development using programming languages & tools/services: Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow, Cassandra & Elasticsearch.
- Experience in big data processing tools/languages using Apache Spark Scala.
- 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.
- Strong knowledge in AWS Compute: EC2, EMR, AWS Lambda.
- Strong knowledge in Gitlab /Bitbucket .
- AWS Certification is a plus
- "Big data" systems and analysis
- Experience with data warehouses or data lakes
- Mindset and attributes
- Very strong verbal and written communication skills
- Advanced analytical and technical skills in troubleshooting and problem resolution.
- Ability to coach, mentor and provide guidance to junior colleagues
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