Senior Data Engineer

Job Description

Unifocus is an integrated workforce management software platform offering intelligent automation for daily work orders management, housekeeping activities, facility maintenance, survey solutions, scheduling & labour management, and time & attendance built for the hospitality market and other dynamic scheduling environment.

We support hotels, restaurants, casinos, and more with our innovative web-based and mobile software suite. Some of the chains we work with include Hilton, Rosewood, Shangri La, Accor, IHG, Hoxton, Corinthia, Oetker Collection etc. We are a small but growing team, and you'll have opportunities to express yourself and make meaningful contributions to our products and the company.

Visit https://www.unifocus.com for more details.

About:

Join our team as a Data Engineer (ETL and Data Modelling) and contribute to our mission of leveraging data to drive meaningful insights and deliver innovative solutions for our clients.

What will you do?

• Design, develop and own robust data pipelines, ensuring optimal performance, scalability, and maintainability.
• Design and implement Data Lake, Dare Warehouse and Lakehouse solutions with different

architecture patterns

• Ensure data quality, integrity and governance across all stages of data lifecycle
• Monitor and optimize performance of data engineering pipelines.
• Contribute to design principles, best practices, and documentation.
• Collaborate closely with cross-functional teams to deeply understand business requirements,

translating them into effective technical design, implementations that support the organization's data-driven initiatives.

• Provide mentorship and guidance to junior members of the data engineering team, promoting knowledge transfer, a culture of continuous learning and skills development.

We are looking for:

• Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.
• A seasoned Data Engineer with 8+ years of experience.
• Deep experience in designing and building robust, scalable data pipelines – both batch and real-time
• using modern data engineering tools and frameworks.
• Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).
• Strong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg or

Hudi and CDC patterns.

• Experience in stream processing frameworks like Apache Flink or Kafka Streams or any other

distributed data processing frameworks like pySpark.

• Expertise in workflow orchestration using Apache Airflow.

Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.

• In-depth knowledge of database systems (both relational and NoSQL) and experience with data

warehousing concepts.

• Hands-on experience with data integration tools and a strong familiarity with cloud-based data

warehousing and processing is highly desirable.

• Excellent communication and interpersonal skills, facilitating effective collaboration with both

technical and non-technical stakeholders.

• A strong desire to stay current with emerging technologies and industry best practices in data

landscape.

The Unifocus experience:

Our Culture Statement: Thriving Together, Achieving Greatness

To support our culture mission, we have four core culture values of Unite, Inspire, Empower, and Excel. Each value representing a set of key traits that define how we live and breathe our culture every day.

We UNITE globally, combining our diverse talents, perspectives, and expertise. With professionalism and a touch of fun, we inspire and empower each other to excel. Together, we deliver exceptional value, challenge norms, and leave a lasting impact within the hospitality industry.

In addition to a competitive salary, we offer:

• Health insurance
• Paid time off
• A hybrid environment that promotes a healthy work-life balance
• Parental leave
• Professional development assistance
• Referral program