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Software Engineer - Bigdata ( Java or Scala or Python, Spark, SQL, AWS )

Karnataka, India (Hybrid)

Software Engineer - Bigdata ( Java or Scala or Python, Spark, SQL, AWS )

2 Months ago • All levels • DevOps • Full Stack Development • Undisclosed

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

aws

scala

python

java

spark

sql

shell

bitbucket

unix

gitlab

json

terraform

linux

data-science

yaml

Job Description

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.

As a Software Developer, you will be a contributor of a Scrum/DevOps team focusing on analyzing, developing, testing, and supporting highly complex application software build on Big Data 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

Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud with an emphasis on quality, best-practice coding standards, and cost-effectiveness
Build platform reusable code and components that could be used by multiple project teams.
Provide cloud integration development support to various project teams.
Leverage modern design patterns and architectural principles to build platform reusable code and components that can be used across projects and teams
Write both unit and integration tests, and develop automation tools for daily tasks
Support product owner in defining future stories and tech lead in defining technical requirements for new initiatives
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 cross-functional teams and stakeholders to align development objectives with broader business goals

Key Skills

Domain Expertise

3-5 years of hands-on software development with a bachelor’s degree in computer science, engineering
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.
A quick learner, who can pick up new technologies, program languages and frameworks in a short span of time

Technical Skills

Experience in software development using programming languages & tools/services: Java or Python or Scala and strong in SQL.
Experience in big data processing tools/languages and distributed computing using Spark Scala or similar.
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.
Deployment and automation: Terraform, Cloud Formation would be a plus.
Strong knowledge in Compute: EC2, EMR, AWS Lambda.
Strong knowledge in GitLab /Bitbucket.
AWS Certification is a plus.

Mindset and attributes

Strong verbal/written communication and interpersonal skills.
Must have strong analytical and technical skills in troubleshooting and problem resolution.

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.

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