Senior Data Engineer
Chicago, IL (hybrid)
Apply directly to LinkedIn Job posting to be considered
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
Required Skills:
• Data Engineering with good Data pipelines development experience
• Good Experience in Informatica IICS
• Should be well versed with SQL and Python programing
• Good knowledge of AWS technologies
• 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.
Preferred Skills:
• 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