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About LiveU LiveU is the world leader in live streaming, providing high-quality, low-latency live broadcast from anywhere, anytime. We are looking for a BI Developer to join our MIS BI team and play a key role in building the data infrastructure that powers our business decisions. Role Overview As a BI Developer at LiveU, you will be a key member of the MIS BI team, responsible for designing, building, and maintaining scalable data solutions that enable data-driven decision-making across the organization. This is a hands-on, end-to-end role that goes beyond traditional frontend BI systems. You will take ownership of projects across the full data lifecycle — from source systems and backend integrations, through ETL/ELT pipelines and data transformations, all the way to dashboards, reporting layers, and user-facing BI applications. We are looking for someone who brings an AI-first mindset and leverages AI tools to improve development efficiency, automation, and data quality. We are looking for someone who combines strong technical capabilities with a business-oriented mindset. The role involves close collaboration with stakeholders across the company, including gathering requirements, leading discussions, planning projects, translating business needs into technical solutions, and driving initiatives from concept to delivery.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently.
We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We invite you to #UnleashyourCuriosity and join our ever-growing R&D organization.
As part of our Customers Company Data Engineering team, you will not only build scalable data features and pipelines but also directly enable portfolio growth by supporting new business capabilities in the Credit Card and Servicing business units.
Responsibilities:
Design and build data solutions that support Credit Card and Servicing business goals.
Develop advanced data pipelines to support the infrastructure, architecture and the product growth initiatives.
Create ETL/ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Collaborate with stakeholders across Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.