data pipelines and ETL processes using state-of-the-art tools. Skilled at architecting and managing secure, scalable AWS environments and working experience in data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, AmazonAurora, Amazon SageMaker … Amazon Bedrock (including LLM hosting and management). Expertise in workflow orchestration tools such as Apache Airflow. Experience implementing DataOps best practices and tooling, including DataOps.Live. Advanced skills in data storage and management platforms like Snowflake. Ability to deliver insightful analytics via business intelligence tools such as Power BI. Full-stack development experience: backend (Node.js, Python), frontend (ReactJS). … Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.). Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker. Advanced proficiency in Python and related AI/ML productivity libraries. Expertise in SQL and NoSQL database technologies. Skills Python AWS Gen AI Job Details Job Title: Technical Lead More ❯
following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a More ❯
SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge More ❯
