Associate Software Engineer - Scala and spark at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Spark, Scala, Databricks, PySpark, GitHub, Azure, SQL, CI/CD, Linux, Unix, Agile, Scrum, Java, DevSecOps, AI, Shell Scripting

Industry

Software Development

Description

Job Description Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Big Data Software Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Ingestion Services is working on unifying and standardizing several varied ingestion methodologies and convergence initiatives with latest Big Data services on Spark, Scala, Databricks, PySpark and leverage GitHub to support things like CI/CD and integrations and continuing to adopt the best in class cloud-native, cloud-agnostic technologies. Our team is co-located and agile, with central technology hubs in Chennai and Pune. Expertise in Spark, Scala, Databricks are mandatory. Skills in PySpark, GitHub, AI, Azure are welcome additions. AI readiness and DevSecOps exposure are key additional facets to possess and exhibit. Responsibilities: Understanding user needs and how they fit into the overall, global solution design Configuring & Implementing Application and Integration Service to support Business needs Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Qualifications 3-6 years of experience as a Big Data engineer who works on enterprise standard frameworks like Spark, Scala, Databricks, PySpark Development experience in unit and integration test cases Intermediate level of Database (SQL) skills to work with SQL queries, functions Good Understanding on CI/CD Pipeline i.e. GitHub Actions Strong knowledge of version control tools, preferably GitHub Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to thrive in an enterprise Agile/SCRUM environment Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills and excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Nice to have - Minimum B.S. degree in Computer Science, Computer Engineering or related field Experience using Collaboration Technologies: GitHub, Jira, Confluence Experience using Object-oriented languages Java Experience working with testing tools and Automation test needs Motivated, high-potential performer, with demonstrated ability to influence and lead. Strong communicator with excellent interpersonal skills. Able to solve complex problems and successfully manage ambiguity and unexpected change. Teachable and embracing of best practices and feedback as a means of continuous improvement. Consistently high achiever marked by perseverance, humility and a positive outlook in the face of challenges. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

The role involves configuring and implementing application and integration services to support business needs within a global data ecosystem. Responsibilities include prototyping new features, following test-driven development practices, and performing root cause analysis for troubleshooting.