Data Engineer

SiteMinder Limited; Pune District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Hybrid in-office model (3 days)

Medical Insurance Cover

Annual Leaves

Sick Leaves

Birthday Leave

Volunteering Leaves

Team Events

Job summary

SiteMinder Limited is seeking a skilled Data Engineer to join our Data & Business Systems team. You will design, build, and maintain robust data pipelines on AWS using Databricks and DBT, while contributing to data features across the product lifecycle.

You will collaborate with cross-functional teams to ensure data quality, governance, and cost efficiency, with a hands-on, startup‑driven mindset and a hybrid work arrangement in Pune.

Qualifications

• Extensive data engineering experience; Databricks & DBT are mandatory.
• Strong SQL and Python skills for automation and monitoring.
• Experience with AWS data services and cloud-native data stacks.
• Familiarity with Terraform and Airflow for orchestration and deployment.

Responsibilities

• Develop, test, and maintain scalable ETL/ELT data pipelines using Python, PySpark, Databricks on AWS.
• Lead the development of new data features and services across the full product lifecycle.
• Create CI/CD controlled data deployments with Databricks assets and serverless compute.
• Collaborate with Product Managers, Data Scientists, and engineers to solve data challenges.
• Take ownership of major data platform components, ensuring security and scalability.
• Analyze workloads, queries, and clusters to identify inefficiencies and savings.

Skills

Databricks

DBT

SQL

Python

AWS

Terraform

Airflow

Cost optimization

Tools

Databricks

DBT

Terraform

Airflow

Delta Lake

Unity Catalog

Job description

At SiteMinder, we believe our success comes from our people. We build diverse, inclusive teams where different voices, backgrounds and perspectives are valued. Our differences drive innovation for our customers, and our people bring the ideas, expertise and energy that help us keep moving forward. We’re better together.
What We Do...Right now, somewhere in the world, a hotel is taking a booking or increasing their revenue through technology you could help build. SiteMinder is the world’s leading hotel commerce platform. For more than 20 years, we’ve helped hotels attract guests, maximise revenue, forecast demand and perform at their best. Today, our platform supports 56,000+ hotels in 150+ countries, connects to 3,000+ partners and powers more than 140m reservations and AU$85 billion+ in hotel revenue each year.
That’s the kind of impact your work can have here. You’ll solve meaningful challenges with AI, simplify complexity and build solutions that help hotels perform. Supported by clear purpose, a strong platform and teams who care about what they’re building, you’ll have the opportunity to shape the future of an industry that never stands still.

About the Data Engineer role...

The Data & Business Systems team at SiteMinder serves as the central data hub supporting all reporting and insights initiatives across the company. We are looking for an experienced Data Engineer proficient in DBT, Databricks, SQL, and Python to join our team. In this role, you will be a key member of the core data engineering group, driving data engineering and reporting needs that power our business intelligence and reporting capabilities. You will work extensively on Databricks and AWS environments to design, build, and maintain robust data pipelines and models. This is a highly hands‑on position, with approximately 70% focus on data engineering projects and 30% on data operations.

What you will do...

• Dedicate your time to developing, testing, and maintaining high-quality, scalable ETL/ELT data pipelines using Python, PySpark, and Databricks on AWS
• You will lead the development of new data features and services across the full product lifecycle, from architectural design to deployment including technologies like Terraform, spark structured streaming, dlt, etc.
• Create CI/CD controlled data engineering deployments using Databricks Asset Bundles and leverage Databricks serverless compute with cost optimization techniques to deliver performant data products
• Work within a fast-paced agile team, collaborating closely with Product Managers, Data Scientists, and fellow engineers to solve complex data challenges. You will help ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance
• Take technical ownership of major components of our data platform architecture. You will lead design discussions, ensuring our data systems are secure, scalable, and maintainable
• Analyse workloads, queries, clusters/warehouses, jobs, and services to identify inefficiencies and savings opportunities
• Implement continuous monitoring and intelligence dashboards for cost and performance optimisation
• Stay ahead of new Snowflake/Databricks features and translate them into marketable product differentiators

What you have...

• Extensive experience with data engineering; DataBricks & DBT (Mandatory)
• Proven expertise in platform internals:

Databricks: clusters, jobs, Delta Lake, Spark optimization, autoscaling, Unity Catalog

• Strong SQL + Python skills for automation, monitoring, and recommendation logic
• Experience working with AWS data services
• Experience with frameworks like Terraform & Airflow
• Track record of delivering performance gains and cost savings through platform-level optimisations
• Startup mindset: hands‑on, automation‑driven, customer‑value obsessed

Preferred but not mandatory

• Databricks Certification
• Familiarity with compliance frameworks like SOC2, GDPR
• Knowledge of LLMs and AI frameworks

Our Perks & Benefits…

• Flexibility to work in a Hybrid model (3 days in-office)
• Annual and Sick Leaves
• Paid Birthday, Study and Volunteering Leaves every year
• Medical Insurance Cover
• Employee Referral Bonus
• Tenure Bonus
• Team Events & Celebrations

We also warmly encourage applications from people from underrepresented backgrounds.