An International Staffing &
Professional Services Company
in Bentonville, Arkansas

We are seeking a hands-on Java Spring Boot Developer with payment service integration experience in a high-volume retail environment to support the delivery of?an enterprise retail checkout modernization?program. This role will help design, build, test, stabilize, and support backend microservices that enable?credit application?and?credit bill payment?capabilities across?a next-generation checkout platform, with a focus on secure API orchestration, idempotent transaction processing, resilient integrations, observability, CI/CD readiness, UAT stabilization, production rollout, and operational transition.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

? Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series. ? Foundational Knowledge on advanced regression. ? Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement. ? Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines ? Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale. Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Must report onsite to the Bangalore Office 5 days a week**We are seeking a skilled Data Engineer to design, build, and optimize large-scale batch data pipelines in a cloud environment. This role focuses on reliability, performance, and data quality, supporting analytics and downstream consumers through well-engineered big-data solutions. The ideal candidate has strong experience with Apache Spark, cloud data platforms (GCP preferred), and writing performant SQL at scale.Key ResponsibilitiesDesign, develop, and maintain batch data pipelines using Apache Spark, Hadoop, Hive, or similar frameworks in a cloud environment.Build highly optimized, fault-tolerant, and SLA-driven data pipelines that operate reliably at scale.Leverage Google Cloud Platform (GCP) services such as BigQuery, GCS, Dataproc, and Pub/Sub to support data ingestion, processing, and storage.Write and optimize SQL queries (BigQuery SQL and/or Spark SQL) for data analysis, profiling, and performance tuning.Collaborate closely with analytics, data science, and downstream consumers to ensure data availability, correctness, and usability.Monitor and troubleshoot pipeline failures; implement alerting, retries, and data quality checks.Improve pipeline performance through partitioning, clustering, resource tuning, and query optimization.Follow software engineering best practices, including version control, testing, and documentation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.