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Data Engineer bei Unifocus

Unifocus · Gurugram, Indien · Onsite

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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 a minimum of 3-5 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

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