Overview About Business Unit: Relied upon by leaders, associates and various verticals within Epsilon, the Finance team plays a key role in shaping our outcome-focused business culture. They devise solutions and provide insights that help keep our business on track, by collaborating and communicating with other teams. Empowered with an excellent ERP and forecasting system, this team of trusted partners support Epsilon India’s day-to-day requirements and long-term business goals. How You’ll Make an Impact: As a Data Warehouse Solution Developer, you will play a key role in designing, developing, and maintaining data solutions that support Revenue Operations, Sales Compensation, Finance, and enterprise reporting. You will combine strong technical expertise in SQL and Python with a deep understanding of business processes and compensation systems to deliver reliable, scalable, and actionable data solutions. You will work closely with business and technical partners to translate requirements into data models, transformations, integrations, develop integrations and automation and reporting solutions while ensuring data accuracy, performance, and integrity across the enterprise data environment. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Design, develop, and maintain data warehouse solutions, data models, ETL/ELT processes, and data pipelines supporting Revenue Operations and Finance. Develop complex SQL queries, stored procedures, transformations, and data validation processes to integrate data from multiple enterprise systems. Build and maintain Python-based data processing, automation, and integration solutions to improve data quality, efficiency, and scalability. Serve as a technical SME for Sales Compensation data, supporting platforms such as Xactly Incent and/or Incentivate and their integrations with CRM, HR, Finance, and other enterprise systems. Develop and maintain data transformations and business logic required to support sales compensation calculations, reporting, analytics, and downstream processes. Partner with Sales Compensation, Revenue Operations, Finance, IT, and Analytics teams to understand requirements and translate business needs into scalable data solutions. Design and implement data quality checks, reconciliation processes, and controls to ensure accuracy and consistency across critical data flows. Troubleshoot data, integration, and transformation issues and work with stakeholders to identify root causes and implement sustainable solutions. Document data models, transformation logic, business rules, source-to-target mappings, and system dependencies. Continuously find opportunities to automate manual processes, improve data performance, and strengthen the reliability of the data environment. Qualifications What You’ll Bring: Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. 2–4 years of experience in data engineering, data warehousing, business intelligence, or a related technical role. Strong hands-on experience with SQL and relational databases, including complex queries, data transformations, and performance optimization. Strong Python development skills for data processing, automation, integration, and analytical workflows. Experience designing data warehouse models, ETL/ELT pipelines, and integrations across multiple enterprise systems. Ability to develop automated data validation, reconciliation, and data-quality checks. Experience troubleshooting data issues, identifying root causes, and implementing sustainable technical fixes. Experience with API, database, and file-based integrations. Strong understanding of sales compensation data, including quotas, crediting, attainment, earnings, adjustments, and related business rules. Experience integrating data from systems such as Salesforce, HRIS, financial systems, CRM platforms, and compensation applications. Strong analytical and problem-solving skills with the ability to investigate complex data issues and identify root causes. Ability to translate business requirements into scalable technical solutions and communicate effectively with both technical and non-technical stakeholders. Why You Might Stand Out: Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, or similar technologies. Experience developing production-grade Python data pipelines and automation frameworks. Strong experience with enterprise sales compensation platforms. Experience supporting compensation calculations, plan configuration, quota/territory data, crediting logic, and commission reporting. Experience integrating Salesforce and other enterprise applications into a centralized data warehouse or lakehouse. Experience with data governance, data dictionaries, source-to-target mapping, and data lineage. Experience working in Revenue Operations, Sales Compensation, Finance, or Sales Operations environments. Experience with BI and reporting platforms such as Tableau, Power BI, or similar tools. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics. Design, develop, and maintain data warehouse solutions, data models, ETL/ELT processes, and data pipelines supporting Revenue Operations and Finance. Develop complex SQL queries, stored procedures, transformations, and data validation processes to integrate data from multiple enterprise systems. Build and maintain Python-based data processing, automation, and integration solutions to improve data quality, efficiency, and scalability. Serve as a technical SME for Sales Compensation data, supporting platforms such as Xactly Incent and/or Incentivate and their integrations with CRM, HR, Finance, and other enterprise systems. Develop and maintain data transformations and business logic required to support sales compensation calculations, reporting, analytics, and downstream processes. Partner with Sales Compensation, Revenue Operations, Finance, IT, and Analytics teams to understand requirements and translate business needs into scalable data solutions. Design and implement data quality checks, reconciliation processes, and controls to ensure accuracy and consistency across critical data flows. Troubleshoot data, integration, and transformation issues and work with stakeholders to identify root causes and implement sustainable solutions. Document data models, transformation logic, business rules, source-to-target mappings, and system dependencies. Continuously find opportunities to automate manual processes, improve data performance, and strengthen the reliability of the data environment. What You’ll Bring: Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. 2–4 years of experience in data engineering, data warehousing, business intelligence, or a related technical role. Strong hands-on experience with SQL and relational databases, including complex queries, data transformations, and performance optimization. Strong Python development skills for data processing, automation, integration, and analytical workflows. Experience designing data warehouse models, ETL/ELT pipelines, and integrations across multiple enterprise systems. Ability to develop automated data validation, reconciliation, and data-quality checks. Experience troubleshooting data issues, identifying root causes, and implementing sustainable technical fixes. Experience with API, database, and file-based integrations. Strong understanding of sales compensation data, including quotas, crediting, attainment, earnings, adjustments, and related business rules. Experience integrating data from systems such as Salesforce, HRIS, financial systems, CRM platforms, and compensation applications. Strong analytical and problem-solving skills with the ability to investigate complex data issues and identify root causes. Ability to translate business requirements into scalable technical solutions and communicate effectively with both technical and non-technical stakeholders. Why You Might Stand Out: Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, or similar technologies. Experience developing production-grade Python data pipelines and automation frameworks. Strong experience with enterprise sales compensation platforms. Experience supporting compensation calculations, plan configuration, quota/territory data, crediting logic, and commission reporting. Experience integrating Salesforce and other enterprise applications into a centralized data warehouse or lakehouse. Experience with data governance, data dictionaries, source-to-target mapping, and data lineage. Experience working in Revenue Operations, Sales Compensation, Finance, or Sales Operations environments. Experience with BI and reporting platforms such as Tableau, Power BI, or similar tools.
