The role: the senior data engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. Responsibilities: work with product team to determine requirements and propose approaches to address users' needs analyze requirements to determine approach/proposed solution design and build solutions using relevant programming languages thoroughly test solutions using relevant approaches and tools conduct research into software-related issues and products bring out-of-box thinking and solutions to address challenging issues effectively prioritize and execute tasks in a fast-paced environment work both independently and in a team-oriented, collaborative environment flexible and adaptable to learning and understanding new technologies highly self-motivated and directed demonstrate a commitment to hyatt core values requirements: strong verbal and written communication skills demonstrate integrity and maturity, and a constructive approach to challenges demonstrate analytical and problem-solving skills, particularly those that apply to data warehouse and big data environments open minded, solution oriented and a very good team player hands on experience in developing data lake and data warehouse and data marts proficiency in sql and scripting (unix sell scripts, python) hands on experience in data pipeline development using modern etl tools specifically on informatica powercenter, informatica iics hands on experience in trouble shooting complex etl and sql problems hands on experience in designing and building data pipelines in aws cloud using s3, lambda, api gateway, rds, redshift, etc. Strong experience in sql/python/unix scripting/aws architecture/etl nice to have: experience in industry standard etl/elt tools hands on experience with aws cloud architecture and development using aws resources like s3, lambda, api gateway, rds, etc proficiency in relational databases (snowflake, db2, redshift, etc), database concepts and dimensional modeling experience in data cleansing, data validation and data wrangling good to have knowledge/experience working in feature store build/support good to have experience using snowflake j-18808-ljbffr