Senior Data Engineer (Remote)

Description 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

Experience and Skills:

Informatica and snowflake are very very important skills for these roles

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 troubleshooting 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.

Good to have 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 modelling

Experience in data cleansing, data validation and data wranglin