Hybrid Data Engineer

at StarRez, Inc.

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Azure, Cloud, ETL, SQL
• Location requirements: Hybrid, Hyderabad, India

About the role

• Data Engineer at StarRez designing and maintaining data pipelines for analytics. Collaborating with teams to drive data quality and insights across the product.

Responsibilities

• Build and maintain scalable data pipelines to ingest, transform, and model data for analytics and reporting
• Develop and optimise data models to support consistent dashboards and KPI definitions
• Ensure data quality and reliability through testing, monitoring, and observability practices
• Work with Data Analysts and Product teams to translate requirements into reusable datasets and pipelines
• Collaborate with Engineering to support data integration, schema automation, and platform scalability
• Integrate data from internal and external sources (APIs, third-party systems)
• Improve performance, scalability, and cost efficiency of the data platform
• Contribute to embedding analytics into the product (dashboards, reporting, data services)
• Support advanced use cases such as forecasting, benchmarking, and data-driven insights

Requirements

• Experience designing and maintaining ETL/ELT pipelines (batch and/or streaming)
• Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Microsoft Fabric or similar) including IAC
• Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure Data Factory or equivalents)
• Understanding of data integration patterns (APIs, ingestion pipelines, transformation layers) and Solid understanding of data modelling (star schema, dimensional modelling, data warehousing concepts)
• Knowledge of data quality, testing, and observability practices (monitoring, validation, lineage)
• Strong database fundamentals and SQL experience; comfortable designing safe schema changes considering performance optimisation, scalability, and cost management in data systems
• Ability to work closely with Data Analysts and stakeholders to translate requirements into scalable data solutions
• Strong communication skills with the ability to turn ambiguous requirements into structured data models and pipelines
• Pragmatic approach to balancing speed, quality, and scalability
• An inclination towards communication, inclusion, and visibility

Benefits

• A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.
• Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.
• Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.
• Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.
• Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.