Senior Software Engineer – Bigdata (Java/Scala , Spark, Python, AWS ) Job Opening | Gurgaon, Haryana
About Company – Nielsen
Nielsen shapes the world’s media and content as a global leader in audience insights, data, and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future.
Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook, and Instagram).
- Analytical Skills
- Optimization
- Airflow
- Apache Airflow
- Apache Spark Streaming
- Customer Validation
- Scala
- Scala in Spark
- Troubleshooting
Responsibilities
- 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.
- 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, focusing 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.
Key Skills
Domain Expertise
- Bachelor’s degree in computer science, engineering plus 5-8 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, Ansible, or CloudFormation.
- A quick learner, who can pick up new technologies, program languages, and frameworks in a short span of time.
Technical Skills
- Experience in service-oriented architecture, Spark Streaming, and Git.
- 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.
- Experience in big data processing tools/languages using Apache Spark Scala.
- Experience with orchestration tools: Apache Airflow or similar tools.
- Strong knowledge of 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.
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.
👉Senior Software Engineer – Bigdata (Java/Scala , Spark, Python, AWS ) Job Opening [ APPLY NOW ] Before apply, Please read Job description and Responsibility 👉 Note : Apply the job before link Expires / Job Hiring Closed
