Mid Data Engineer Data · Mid Gurgaon, India · Office (Gurgaon, India) · As per industry standards

RHIA; Gurgaon; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive compensation

Growth opportunities

Collaborative team culture

Job summary

RHIA is seeking a Mid Data Engineer in Gurgaon, India, to join our data platform team. You will design, build, and maintain scalable data pipelines that provide real-time intelligence and actionable analytics for our hospitality clients.

You will work with cross-functional teams to ensure data quality, governance, and robust data infrastructure within a fast-paced, product-driven environment.

Qualifications

• 3+ years of professional Data Engineer experience building production data pipelines.
• Strong proficiency in SQL and experience with relational and non-relational databases.
• Hands-on experience with at least one major cloud data platform (AWS, GCP, Azure).
• Proficiency in Python or Java.
• Experience with data pipeline orchestration tools (Airflow, Luigi, Prefect).
• Familiarity with data warehousing concepts and technologies (BigQuery, Redshift, Snowflake).
• Understanding of data modeling principles (star schema, data vault).
• Excellent problem-solving and collaborative skills.

Responsibilities

• Design, develop, and manage reliable and scalable data pipelines for batch and real-time data processing.
• Integrate data from diverse hospitality sources (PMS, CRM, booking engines, POS).
• Model data to support analytics, ML, and product features with data integrity.
• Collaborate with data scientists, analysts, and product teams to understand data requirements.
• Optimize data warehouse performance and queries for large datasets.
• Implement data governance, security, and documentation best practices.
• Monitor pipeline health, troubleshoot issues, and ensure high availability.
• Contribute to evolution of data architecture and technology stack.

Skills

SQL proficiency

Python

Cloud data platforms

Data modeling

Communication & teamwork

Tools

Apache Airflow

Spark

Kafka

dbt

BigQuery

Redshift

Snowflake

Job description

Data · Mid Gurgaon, India · Work from office (Gurgaon, India) · As per industry standards

About the role

Mid Data Engineer

Company: RHIA

Industry: Hospitality Technology

Location: Gurgaon, India

Seniority: Mid-Level

About RHIA

Our hotels already have great systems. They just don't talk to each other. RHIA unifies every data stream across your operation—PMS, CRM, booking engines, F&B, and beyond. One platform. Complete visibility."Real-time Hotel Intelligence and Analytics" was founded by industry veterans, hotel owners, and institutional investors. We are looking for charismatic, bright team members to join us in shaping the next chapter of the hospitality industry.

About the Role

As a Mid Data Engineer at RHIA, you will be a central contributor to our core data platform, which integrates disparate hotel systems into a unified source of truth. You will design, build, and maintain scalable data pipelines that empower our hospitality clients with real-time intelligence and actionable analytics. This role is ideal for a collaborative problem-solver who is passionate about creating robust data infrastructure in a fast-paced, product-driven environment.

Key Responsibilities

• Design, develop, and manage reliable and scalable data pipelines for batch and real-time data processing.
• Integrate data from diverse hospitality sources (e.g., Property Management Systems, Customer Relationship Management systems, booking engines, point-of-sale systems).
• Model data to support analytics, machine learning, and product features, ensuring data integrity and quality.
• Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver efficient solutions.
• Optimize data warehouse performance and queries for large-scale datasets.
• Implement and advocate for data governance, security, and documentation best practices.
• Monitor pipeline health, troubleshoot issues, and ensure high availability of our data services.
• Contribute to the evolution of our data architecture and technology stack.

Requirements

• Demonstrated experience as a Data Engineer, with a track record of building and maintaining production data pipelines.
• Strong proficiency in SQL and experience with relational and non-relational databases.
• Hands-on experience with at least one major cloud data platform (e.g., AWS, Google Cloud, Azure).
• Proficiency in a programming language commonly used in data engineering, such as Python or Java.
• Experience with data pipeline and workflow orchestration tools (e.g., Apache Airflow, Luigi, Prefect).
• Familiarity with data warehousing concepts and technologies (e.g., BigQuery, Redshift, Snowflake).
• Understanding of data modeling principles (e.g., star schema, data vault).
• Excellent problem-solving skills and a proactive approach to identifying and resolving data issues.
• Strong communication skills and the ability to work effectively in a collaborative team.

Nice to Have

• Experience with stream-processing frameworks (e.g., Apache Kafka, Apache Flink, Spark Streaming).
• Knowledge of data integration from systems commonly used in the hospitality industry (e.g., Opera, Salesforce, Micros).
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Understanding of data privacy regulations relevant to the hospitality sector.
• Previous experience working in a product-centric technology company.

What We Offer

• The opportunity to solve complex, meaningful problems for a global industry.
• A dynamic and supportive work environment with experienced founders and investors.
• Competitive compensation and benefits package.
• A culture that values continuous learning and professional growth.
• Flexible work arrangements.
• The chance to shape the data foundation of a growing hospitality technology leader.

Responsibilities

• Design, develop, and optimize scalable, real-time data pipelines to ingest structured and semi-structured data from diverse hospitality sources (e.g., Opera, Oracle Hospitality, John Paul, Sabre, ResDiary, SevenRooms).
• Implement and maintain data transformation logic to harmonize disparate hotel data models (guest profiles, reservations, revenue, service requests) into a unified, query-optimized schema.
• Build and manage cloud-based data warehousing and lakehouse solutions (e.g., on AWS, GCP, or Azure) tailored for hospitality analytics workloads.
• Develop and automate ETL/ELT processes to ensure data accuracy, freshness, and reliability across the RHIA platform.
• Collaborate closely with Solutions and Product teams to understand specific hotel operating data requirements and translate them into technical specifications.
• Implement data quality frameworks, monitoring, and alerting to proactively identify and resolve issues in data streams from partner integrations.
• Contribute to the foundational data architecture and governance practices as a key member of our small, high-impact data team, with a focus on hospitality industry compliance and semantic consistency.

Requirements

• 3+ years of professional experience as a Data Engineer, with a proven track record of building and deploying production data pipelines.
• Strong proficiency in Python and SQL, with experience using modern data frameworks (e.g., Apache Airflow, Spark, dbt, Kafka).
• Hands-on experience with cloud data services (AWS Glue/Redshift/S3, Google BigQuery, Azure Data Factory/Synapse) and data warehousing concepts.
• Practical understanding of data modeling, schema design, and performance tuning for analytical queries.
• Familiarity with integrating and processing data from APIs, streams, and batch sources common in tech ecosystems.
• Excellent problem-solving skills and the ability to work autonomously in a fast-paced, early-stage startup environment.
• A keen interest in the hospitality industry and a desire to solve concrete operational data challenges for hotels.

Nice to have

• Prior experience working with hospitality technology data formats (HTNG, HEDNA, OTA XML) or specific Property Management Systems (PMS).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI) and enabling analytics consumption.
• Knowledge of data security best practices and compliance frameworks relevant to the hospitality sector (e.g., PCI DSS, GDPR).

About RHIA

Our hotels already have great systems. They just don't talk to each other. RHIA unifies every data stream across your operation—PMS, CRM, booking engines, F&B, and beyond. One platform. Complete visibility. RHIA - "Real time Hotel Intelligence and Analytics" founded by industry veterans, hotel owners and institutional investors is looking for charismatic, bright team members to join us in shaping the next chapter of the hospitality industry.

Hospitality Technology 1-10 Est. 2025 Dubai, UAE Website