Software Engineer 4-6 years Python & Java, Pandas, NumPy at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Microservices, SQL, Pandas, NumPy, RESTful APIs, Azure, AWS, GCP, Docker, Kubernetes, CI/CD, Git, Kafka, RabbitMQ

Industry

Software Development

Description

Job Description Software Engineer, Pune We are seeking an experienced and highly motivated Mid Software Engineer with strong expertise in Python, Java, Microservices architecture, and SQL. The ideal candidate should demonstrate excellent problem‑solving skills, strong engineering fundamentals, and hands‑on experience building scalable, reliable backend systems. This role requires close collaboration with cross‑functional teams and ownership of end‑to‑end solution delivery. Responsibilities Design, develop, and maintain scalable backend services using Python and Java. Build, enhance, and maintain microservices‑based architectures with a focus on performance, scalability, and reliability. Develop Python‑based components for data processing, transformation, and analysis using standard libraries. Write efficient, optimized SQL queries and work with relational databases. Ensure high code quality through code reviews, unit testing, and adherence to best engineering practices. Troubleshoot, debug, and resolve complex production issues. Collaborate closely with Product, QA, DevOps, and other engineering teams. Continuously improve system performance, maintainability, and operational stability. Qualifications Must have 4+ years of experience, Core Programming: Strong proficiency in Python, with hands‑on experience in Python (Pandas, NumPy, statistical/analytical libraries). Solid experience in Java with strong object‑oriented programming fundamentals. Strong problem‑solving and analytical skills Backend & Microservices Proven experience designing and developing Microservices. Strong understanding of RESTful APIs and service‑to‑service communication. Knowledge of design patterns, data structures, and algorithms. Databases Strong hands‑on experience with SQL and relational databases. Experience in query optimization, schema design, and performance tuning. Additional / Relevant Skills (Professional Engineer Expectations) Experience with cloud platforms such as Azure / AWS / GCP. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Knowledge of CI/CD pipelines and DevOps practices. Experience with version control systems (Git). Understanding of application security best practices. Experience with logging, monitoring, and observability tools. Exposure to message queues or event‑driven systems (Kafka, RabbitMQ, etc.). Familiarity with Agile/Scrum methodologies. Nice to Have Large‑scale / distributed processing (nice to have): PySpark / Spark ecosystem where applicable. Experience building Python‑based batch jobs or backend services. Exposure to machine learning or advanced statistical techniques. Soft Skills Strong communication and collaboration skills. Ability to take ownership and deliver independently. Proactive mindset with a focus on continuous improvement. Ability to work effectively in a fast‑paced, collaborative environment. Good documentation and knowledge‑sharing habits 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://www.nielseniq.com/global/en/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

Design, develop, and maintain scalable backend services and microservices architectures using Python and Java. Collaborate with cross-functional teams to deliver end-to-end solutions and optimize system performance and stability.