Technical Manager (Big Data, Java/Scala, AWS, Spark on Kubernetes)

2 Days ago • 8 Years +

About the job

Summary_{By Outscal}

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Requirements

As a Technical Manager, you will be leading a team of engineers (DevOps team) focusing on analyzing, developing, testing, and supporting Big Data applications deployed in Cloud (AWS) infrastructure.
Your primary objective is to ensure project goals are achieved and are aligned with business objectives. You will also work closely with your Scrum team and program team to test, develop, refine and implement quality software in production via standard Agile methodologies.

Responsibilities:

Result oriented leader to manage staff, plan and evaluate goals and objectives to align with Technology strategy through partnership with senior management and stakeholders.
Hands on Leader to oversee highly motivated DevOps engineers in technical direction and day to day activities for technical project implementations.
Interface with the product manager to review roadmap and requirements; participant in agile/scrum ceremonies to lead the team in delivering on commitments.
Work closely with the reporting manager, architect, and team to review the architecture, design, and implementation of solutions to ensure they are highly robust.
Collaborate with cross-functional teams to oversee end-to-end integrations, data contracts, and compliance with requirements for privacy, security and audit.
Design, implement and optimize comprehensive automation solutions using platform infrastructure and service offerings.
Plan, develop and promote automation in the areas of cloud resource provisioning (IaC), unit testing, regression, code coverage, static code analysis and vulnerability scanning through fully automated CI/CD processes.
Implement comprehensive monitoring and Data quality checks to make sure the quality is of utmost priority.
Research, evaluate and conduct POCs to recommend new technologies and tools to improve and optimize solutions.
Promote and build reusable code and components through innersourcing to be used by multiple project teams.
Promote a culture of best practices with peer code reviews and extreme ownership for continuous incremental delivery.
Document and maintain standards, best practices, and design/architecture patterns.
Motivate staff by providing a creative space with guidance and mentoring for skill development and growth.

Desired Skills

10+ years of hands-on software development with Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field
Must have strong cloud Implementation expertise in cloud architecture
Must have very good knowledge of storage, network, Compute services. Have sound knowledge in multi-zone, region-based designs.
Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security.

Technical Skills

Extensive programming experience and desire to write and review code ~40-50% of the time.
8+ years hands on with 2-3 years leadership experience working with big data development and appreciation for Object Oriented and functional programming paradigms.
Hands-on experience with Scala/Java, Spark, Spark on K8s (EKS) and familiarity with Python.
Experience developing cloud-hosted (AWS), containerized applications and services.
AWS Components: EKS, EMR, EC2, S3 storage, Lambda, Relational Database Service, Simple Notification Service (SNS), Elasticache, etc.
Familiarity with Relational and Big data storage technologies: RDS, Postgres and columnar Storage and file formats.
Must have a strong analytical and technical knowledge of data modeling, Big Data tech stack with passion to conduct due diligence and troubleshoot issues.
Must have a very good knowledge of storage, network, and computer services. Have sound knowledge in multi-zone, region-based designs.
Demonstrates knowledge of CI/CD processes, testing frameworks and tools (Gitlab, jUnit, Terraform, JFrog, Jacoco, SonarQube, etc.)
Familiarity of Linux platforms with knowledge of shell scripting.
Knowledge of networking and protocols: HTTP/HTTPS, TLS/SSL/certificates, TCP/IP ○ Experience with source code control tools. Gitlab experience is a plus.

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 process complex information, articulate and present it clearly
Utilizes team collaboration to create innovative solutions efficiently
Passion to research and conduct POCs to optimize solutions

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.