About Us Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year. Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience. Exavalu offers permanent remote working model as we believe in going where the right talent is. Job Description This is a remote position. Role Summary: * 12+ years of experience in Dat Architecture in AWS / Databricks / Snowflake environments * Design end-to-end Medallion Architecture (Bronze, Silver, Gold layers) and data models for enterprise reporting and AI/ML workloads * Tune job performance, utilize serverless compute, and optimize data querying costs. Requirements * Technical Skills: Databricks Unified Analytics Platform, Delta Lake, Pyspark, SQL, S3, Glue, Lambda, EC2, IAM, Airflow. Benefits Diversity Inclusion: At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely.. We also have a welcome back program to help people get back to mainstream after a long break due to health or family reasons.
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