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Data Engineer AWS - Remote

Company: Hyatt Hotels Corporation
Location: Columbus
Posted on: May 16, 2022

Job Description:

We do sponsor H1b and OPT!
No C2C
2-5 years experience

At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.

Hyatt seeks an experienced Data Engineer who will be an exceptional addition to our growing engineering team. The Data Engineer will work closely with engineering, product managers and data science teams to meet data requirements of various initiatives in Hyatt.

As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will build data pipelines that enable engineers, analysts and other stakeholders across the organization. You will build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You will integrate different data sources, improve the efficiency, reliability, and latency of our data system, help automate data pipelines, and improve our data model and overall architecture.

You will be part of a highly visible, collaborative and passionate data engineering team and will be working on all the aspects of design, development and implementation of scalable and reliable data products and pipelines.

Applying the latest techniques and approaches across the domains of data engineering, and machine learning engineering isn't just a nice to have, it's a must.

This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them.

Collaborate with product managers, data scientists, engineering, and program management teams to define product features, business deliverables and strategies for data products
Collaborate with business partners, operations, senior management, etc on day-to-day operational support
Support operational reporting, self-service data engineering efforts, production data pipelines, and business intelligence suite
Interface with multiple diverse stakeholders and gather/understand business requirements, assess feasibility and impact, and deliver on time with high quality
Design appropriate solutions and recommend alternative approaches when necessary
Work with high volumes of data, fine tuning database queries and able to solve complex technical problems
Contribute to multiple projects/demands simultaneously
Work in a fast paced, collaborative and iterative environment
Exercise independent judgment in methods and techniques for obtaining results
Work in an agile/scrum environment
Use state of the art technologies to acquire, ingest and transform big datasets
The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun .

2 to 5 years of experience within the field of data engineering or related technical work including business intelligence, analytics
Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
Very good understanding of the full software development life cycle
Very good understanding of Data warehousing concepts and approaches
Experience in building Data pipelines and ETL approaches
Experience in building Data warehouse and Business intelligence projects
Experience in data cleansing, data validation and data wrangling
Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift
Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus
Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus
Hands-on experience building complex business logics and ETL workflows using Informatica PowerCenter is preferred
Experience in one of the scripting languages: Python or Unix Scripting
Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling
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
Passionate about programming and learning new technologies; focused on helping yourself and the team improve skills
Effective problem solving and analytical skills.
Ability to manage multiple projects and report simultaneously across different stakeholders
Rigorous attention to detail and accuracy
Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Keywords: Hyatt Hotels Corporation, Columbus , Data Engineer AWS - Remote, Engineering , Columbus, Ohio

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