• Design, build, and measure ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset. • Work closely with tech lead and senior engineers to implement and deliver enterprise data solutions including data strategy, feasibility and longevity of solutions, hands-on solution implementation and BAU support. • Involve in stakeholders conversations to define multi-market data requirements and implement data and BI solutions • Create and maintain data pipelines, integrations, and transformations to ensure efficient data processing, storage, and retrieval. Ensure data infrastructure is scalable, efficient, and aligned with best practices in data management • Extract, organize, and manage data to ensure accessibility for authorized users across the organization • Perform data profiling, validation, and cleansing to maintain data integrity and accuracy. • Perform unit test and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance. • Implement internal process improvements with coordination, automate manual processes, debug inefficient pipelines for optimal performance and scalability. • Understand and follow the best practices and proactively seek opportunities to automate and construct tools that streamline operations and enhance overall reliability. • Collaborate with business analysts to understand requirements and use cases, translating them into technical stories and tasks. • 3-5 years of experience in Data Warehousing and Business Intelligence roles.. • Proficiency in Airflow Orchestration Pipelines, relational database design, data modelling, and data warehousing principles. • Excellent programming skills in SQL, Python etc. • Proficient in Shell scripting and building spark jobs. • Knowledge on AWS services like S3, lambda, EMR, Cloud watch, Step functions. • Knowledge of cloud services, relational database design principles, data warehousing, performance tuning, and optimization techniques. • Experience in performance analysis and tuning to ensure optimal database performance • Ability to analyze the business requirements • Excellent communication skills with the ability to collaborate effectively with technical teams and business stakeholders to gather and refine requirements. • Delivery-focused with a can-do attitude in challenging environments.