Lead Data Engineer

Posted 18 Days Ago
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Gurugram, Haryana, IND
In-Office
Senior level
Software
The Role
Lead the design, build, and ownership of a greenfield data platform and scalable batch and real-time pipelines. Embed AI across the data lifecycle, ensure data quality and governance, optimize pipeline performance, document best practices, and lead and mentor a team of data engineers while collaborating with cross-functional stakeholders.
Summary Generated by Built In

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 Lead Data Engineer and contribute to our mission of leveraging data to drive meaningful insights, deliver innovative solutions for our clients and partner with us to become an AI-first organization.

What will you do?

  • You will be the lead data engineer on our greenfield data platform and key contributor to its success.
  • Embed AI in all phases of data lifecycle.
  • 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.
  • Lead a team of data engineers, guide them, mentor them, and review their technical implementation.
  • Promote a culture of continuous learning and skills development.
  • Expand the horizon to all facets of data landscape.

We are looking for:

  • Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.
  • AI-first mindset, design-thinking, innovative personality, technical ownership.
  • A seasoned Data Engineer or emerging data architect with a minimum of 8-10 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

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • Master's degree
  • 8-10 years of data engineering experience
  • Designing and building robust, scalable batch and real-time data pipelines
  • Proficiency with AWS data services (S3, Glue, Athena, EMR, Kinesis)
  • Strong SQL skills and experience with file formats (Apache Parquet, Delta Lake, Apache Iceberg, Hudi) and CDC patterns
  • Experience with stream/distributed processing frameworks (Apache Flink, Kafka Streams, PySpark)
  • Expertise in workflow orchestration using Apache Airflow
  • In-depth knowledge of relational and NoSQL databases and data warehousing concepts
  • Hands-on experience with data integration tools and cloud-based data warehousing/processing
  • Excellent communication and interpersonal skills
  • AI-first mindset, design-thinking, and technical ownership
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The Company
HQ: Irving, TX
154 Employees
Year Founded: 1998

What We Do

UniFocus is the only complete workforce management platform designed to fundamentally shift the way service industries manage labor. The powerful platform helps managers plan with intelligent Labor Management tools that automatically produce accurate forecasts, optimized schedules based on business demand, employee availability, service standards and work rules. Staff is easily aligned with a world-class Time and Attendance module that communicates schedules and facilitates swaps with tools like Shift Genius that live within an intuitive mobile app. Once scheduled, frontline employees operate with ease from the industry-leading Knowcross Task Management suite that streamlines guest services, housekeeping, maintenance, inspections and glitches. With traditional workplace silos removed, managers benefit from a complete view of analytics and a personalized virtual assistant, Odin, that highlights opportunities to improve productivity and cost controls while keeping an eye on guest satisfaction and employee engagement. UniFocus is arming managers with best-in-class decision making technology in the hospitality, restaurant, retail, and healthcare industries. [email protected] 972.512.5000

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