Associate Data Engineer

About Holiday Inn Club Vacations :

Holiday Inn Club Vacationsorporated acquires, develops, markets, sells and manages real estate-based vacation ownership interests at our 32 resorts located in popular vacation destinations. We sell deeded vacation ownership interests which are beneficial interests in a Florida land trust and also offer consumer financing as an option to customers purchasing vacation ownership interests, which are collateralized by the underlying vacation ownership interest.

Encompassing resorts across the United States and the Mexican Caribbean, Holiday Inn Club Vacationsorporated is a resort, real estate, and travel company with a mission to be the most loved brand in family travel by delivering easy-to-plan, memorable vacation experiences that strengthen families. In addition to our resorts, the company also manages several corporate facilities throughout the U. S. and a Competency Center based in Bangalore, India.

Based in Orlando, Fla., the company has been a leader in the vacation ownership industry since 1982 when Holiday Inn founder Kemmons Wilson debuted the company's flagship property, Holiday Inn Club Vacations at Orange Lake Resort, next to Orlando's Walt Disney World Resort.

Today, the Holiday Inn Club Vacations resort portfolio spans across the United States, and into the Mexican Caribbean, with the company's international expansion in May 2023 Throughout its history, the company has maintained the core family values true to its founding Wilson family, while aggressively pursuing growth, transforming its member engagement model and building an industry-leading team passionate about the guest experience.

Job Description :

HICV is seeking to hire an experienced SQL Developer / Data Engineer to support the management, transformation, and movement of data between systems and applications. The job-holder will design, build, and maintain data pipelines, systems, and infrastructure that enable the processing, collection, storage, and analysis of large volumes of data. This role requires collaboration with technical leads and functional experts to understand business needs and then design maintenance-free solutions to move and integrate data as quickly and efficiently as possible.

Responsibilities :

- Design, build, test, and maintain data pipelines, data integrations, ETL processes, and data management delivery within the enterprise data environment, including source and destination targets with on-premises and cloud solutions such as Microsoft Azure, Salesforce, Oracle, and others, and using integration technologies such as Azure Data Factory, Mulesoft, SSIS, and others.

- Design and architect innovative and scalable data solutions that enable the organization's data needs, including acquisition and management of big data sets. Document solutions, implement POCs, and perform thorough analysis and verification of production solutions.

- Lead the monitoring and troubleshooting of the ongoing data pipelines and data models used in the enterprise data ecosystem. Design processes and solutions that ensure minimal downtime and high performance of all solutions in the data applications. Proactively monitor the accuracy and performance of data assets.

- Participate in the use of Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing, and delivering enterprise data asset solutions.

This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The candidate is expected to perform other duties necessary for the effective operation of the department.

Requirements :

- Bachelor's degree in computer science, Computer Engineering, or related field required. Equivalent professional experience will be accepted instead of a degree.

- Experience with Microsoft data technologies : Azure Data Lake, SQL Server, Azure Data Factory, Power BI, Python.

- 3-6 years' experience designing, building, and implementing data systems

- Advanced SQL skills, which will be assessed as part of the candidate selection process

- Capacity to work with large amounts of data, extract relevant information, and draw logical conclusions.

- Strong verbal and written communication skills to effectively share findings with stakeholders and IT associates.

- Candidate must have an open mind when it comes to approaching and be able to assess each situation separately.

- Ability to manage assigned tasks and expectations without direct instruction or oversight.

- A candidate should have an analytical mindset with the ability to analyze problems from different perspectives and use creativity to solve problems and proactively recommend solutions.

- Ability to pay attention to detail when working with data to make accurate conclusions and predictions.

- Fast, adaptable learner who can hit the ground running.

- Ability to work well under pressure while demonstrating strong professionalism.

- Must be able to collaborate closely with a team at times, while also being capable of holding themselves accountable to meet individual deadlines with minimal supervision.