Data Engineer

InvoiceCloud, Inc.; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

InvoiceCloud is seeking a Data Warehouse Engineer to design, build, and optimize scalable data pipelines that feed the enterprise data warehouse. You will enable reliable analytics, data science, and reporting by creating automated workflows and maintaining strong data quality.

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

Qualifications

• Strong SQL expertise with complex queries.
• Experience designing modern data warehouses in enterprise environments.
• Hands-on with Snowflake, Redshift, or BigQuery.
• Proficiency in Python, Bash, or JavaScript.
• Knowledge of data modeling and ETL/ELT design.
• Ability to work with large-scale datasets and communicate technical concepts clearly.

Responsibilities

• Design and optimize scalable data pipelines to the enterprise data warehouse.
• Translate requirements into durable warehouse solutions for analytics.
• Collaborate with technology and business stakeholders to meet data needs.
• Implement auditing, logging, and data quality controls.

Skills

SQL

Python

Bash

JavaScript

Data modeling

ETL/ELT design

Data lifecycle management

Stakeholder communication

Tools

Snowflake

Redshift

BigQuery

Airflow

Spark

Kafka

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.

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.
• Experiments with new orchestration, automation, and monitoring approaches to improve reliability and observability.
• Contributes to evolving data governance standards and quality frameworks across the organization.

Requirements

Exp- 3 to 7 years

• Strong SQL expertise with proven ability to write, optimize, and maintain complex queries
• Experience designing and implementing modern, architecture-based data warehouses in enterprise environments
• Hands-on experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery
• Proficiency in scripting or software engineering languages such as Python, Bash, or JavaScript
• Strong understanding of data modeling, ETL/ELT design, and data lifecycle management
• Ability to work with large-scale datasets from diverse source systems
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders

Additional strengths include: advanced Snowflake capabilities, experience with cloud-native data services, orchestration tools (e.g., Airflow, Spark, Kafka), data governance frameworks, time-series analytics, and familiarity with security or compliance requirements related to enterprise data.

Equal Employment Opportunity

InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws.

This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training.

If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact [e-mail].

For recruitment agencies

InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.