Software Engineer - IBMI Developer at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

RPGLE, SQL, CL, DB2, VS Code, JavaScript, Data Modelling, Communication Skills, Project Management, FTP Automation, IFS, NFS, Query Tuning, Git, Jira, Confluence

Industry

Software Development

Description

Job Description We love data. GfK Entertainment is globally recognized for outstanding market research in the entertainment sector (music, video, games, books). Our data forms the basis for crucial decisions made by the largest entertainment companies, both nationally and globally. We create the official music charts in 10 countries and present the German No. 1 Music Award. We compile top lists for all major gaming platforms, and we are active in the video streaming and book markets. And at the earliest opportunity, we are looking for you, a Software Engineer IBMi, to maintain and further develop existing ETL processes, always keeping in mind that the processes must be high-performance. The tasks include data-IN, passing the data to subsequent processes and creating tools that simplify the handling of the data for the business and operations departments. This requires a good knowledge of handling large amounts of data and the technical possibilities within the IBMi environment. Join us to design, build, and scale data solutions on our Entertainment Platform using batch and event-driven pipelines. You'll work analytically and collaboratively with specialist departments, datawarehouse, data frontend, and Site Reliability Engineering teams. As a Software Engineer IBMi, you will have following key accountabilities Scaling our existing data processes, focusing on quality every step of the way Provide guidance on technology, library and tooling choices to the team Avoid scope-creep, over-engineering, under-testing and technical debt Learning our business domains Using good software engineering principles and best practices to solve business problems Intra-team and cross-team collaboration with Product Managers, Data Scientists, Data Engineers, Software Engineers and Site Reliability Engineers Mentoring of Data Engineers Manage mid-sized projects Qualifications Experience 4+ years in developing backend services on IBMi platforms 4+ years in RPGLE software development with RDI Cross-team collaboration in large organisations and agile methodology experience Skills Essential Free RPGLE with embedded SQL CL (CLP, CLLE) programming SQL – Advanced, including stored procedures and procedural SQL for IBMi DB2 VS Code JavaScript Data Modelling Strong communication skills Project management skills Highly Useful Knowledge of FTP automation on IBMi Good knowledge of IFS and NFS on IBMi Query Tuning/Optimisation Git, Jira, Confluence Data Warehousing best practices Nice to have Node.js Requirements Engineering Messaging Services (RabbitMQ, Kafka) Oracle SQL & PL/SQL Profound UI Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities. 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 Career Site Team: Technology

Responsibilities

The role involves maintaining and further developing existing high-performance ETL processes, focusing on data input, passing data to subsequent processes, and creating tools to simplify data handling for business and operations departments. Key accountabilities include scaling existing data processes with a focus on quality, providing technology guidance, and managing mid-sized projects.