Senior Engineer, Business Intelligence – Pune, India
Want to do work on a massively global scale with a FINTECH company poised to revolutionize the industry? Are you ready to unleash your potential in a global business that is committed to moving money for better? Join our growing team and help shape our company’s digital capabilities and revolutionize an industry! Join Western Union as Senior Engineer, Business Intelligence.
Motivated by our values: purpose driven, globally minded, and trustworthy & respectful
We’re a FinTech that’s using insight from customers and colleagues worldwide to improve financial services for families, small businesses, multinational corporations, and non-profit organizations. We’re a team of over 8,000 employees serving 200 countries and territories. We believe when money moves, better things happen.
Better requires process discipline and simplification
You will participate in the full lifecycle of the Machine Learning and analytics projects from gathering requirements, architecting solution, and detailing the technical design. in multiple initiatives simultaneously and able to meet project deliverable deadlines. Perform complex study in an evolving data environment. Build data pipelines in ETL to support the AWS model deployments as needed. Preferably in Matillion, Talend or Snowflake. Technical solutioning skills with deep understanding of technical API integrations, AI / Data Design, lead, build and deploy machine learning models at scale, preferably in AWS. Represent the team to interface with internal and external customers and partners. Serve as the conduit between the business unit and the AI/ML development team. Successfully engage in multiple initiatives simultaneously and able to meet project deliverable deadlines. . Partner with the Data Engineers to build project components: data ingestion (ETL), databases, visualization, and possible machine learning components with both traditional and big data technologies.
To perform this role, you need to have BS in Computer Science, 4+ years of Knowledge & experience in applying machine learning/AI to solve real world problems. Experience in Machine Learning model development and deployment. Experience deploying models in AWS SageMaker or any other AI/ML Platform. Experience working in Snowflake. Data analysis experience (able to write and understand complex queries to design and debug) in Snowflake, Amazon AWS, S3, Oracle, Talend ETL, Matillion etc. Strong preference to hands on experience in ETL tools as well – Talend, Matillion. Domain knowledge and past experiences in Fintech industry will be preferable. Exposure to cloud services necessary to build end to end pipeline and familiarity with MLOps concepts and cloud services like Sagemaker, Data Robot, Vertex AI or Azure. Solid understanding of Data Warehousing, ETL, business intelligence, analytics, and data visualization.
Join us, and let’s connect the world
Western Union is transforming its business and shaping the financial services sector by driving quality, convenience, and customer service to new levels of excellence. It’s an exciting time for our organization, as the largest cross-border money transfer operator, trusted by millions of consumers around the world. If you’re ready to unleash your potential to help drive change through bottom-up innovation, apply now.
We’re a company on the move, and we want our people to grow and develop. You’ll have plenty of opportunities to learn new skills and build a career, as well as a great salary and benefits package.
We are passionate about our diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams, while reflecting the communities we serve. We do not discriminate on the basis of race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran (U.S.) status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, in accordance with applicable laws.