Job Description: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights that help the organization achieve its goals. Code in Python with tools like Apache Spark to build a multi-cluster data warehouse. Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components. Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices. Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions. Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management. Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc. Strong experience in Ansi SQL and in-depth knowledge with structu...