Data Engineer

Confirmed live in the last 24 hours

InvoiceCloud

Hyderabad, India

On-site

Posted January 13, 2026

Job Description

About InvoiceCloud:

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com.

Job Details

The Data Warehouse Engineer designs, builds, and optimizes scalable data pipelines that connect solution-area source systems to InvoiceCloud’s enterprise data warehouse. This role focuses on enabling reliable analytics, data science, and reporting by developing automated workflows, improving performance, and maintaining strong data quality standards.

You will work closely with technology teams and business stakeholders to translate operational and analytical requirements into durable data warehouse solutions that support enterprise decision-making.

Success Profile

At InvoiceCloud, success is anchored in our core competencies. These competencies guide how every employee delivers impact across their role

Results Driven

Delivers reliable, scalable data pipelines that support analytics, reporting, and data science initiatives.
Translates business and operational requirements into effective warehouse designs and data models.
Diagnoses and resolves issues in high-volume data processing systems to minimize downtime and protect data integrity.
Ensures warehouse architecture supports performance, accuracy, and enterprise analytics needs.

Takes Ownership

Designs, develops, and maintains automated, real-time data pipelines from multiple source systems into the data lake and warehouse.
Maintains deep understanding of source systems and downstream consumers to champion data usability and reliability.
Implements auditing, logging, and data quality controls to ensure consistency and trust in data workflows.
Owns issue resolution across ingestion, transformation, and delivery layers, coordinating with partners as needed.

Drives Efficiency

Optimizes pipeline and query performance using SQL, Python, profiling tools, and tuning techniques.
Implements scalable Snowflake development workflows that reduce rework and accelerate delivery.
Applies strong ETL/ELT design principles to streamline data movement and lifecycle management.
Participates in architecture reviews and contributes to best practices that improve warehouse scalability and maintainability.

Innovative

Researches and adopts emerging technologies and modern architectural patterns to improve performance and scalability.
Enhances warehouse capabilities to better support advanced analytics and data science initiatives.
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