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Publicis Groupe

Runs advertising and digital transformation services

Data Warehouse Solution Developer

Data EngineeringPosted on Nov 11
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A 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.

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 subject matter expert 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.

Desired Qualifications

  • 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.

About the Company

Publicis Groupe

Runs advertising and digital transformation services

Publicis Groupe runs advertising, media buying and digital transformation services for companies that want to reach consumers, coordinate campaigns and improve their business systems. Its agency network includes creative and media specialists, while Publicis Sapient builds and modernizes the technology behind clients' operations. Epsilon adds customer data and marketing technology that connect brands with audiences and measure campaign results. Clients pay for consulting, campaign creation and execution, with production and media costs billed through alongside the group's service work. Founded in 1926, Publicis Groupe is headquartered in Paris, France.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1926

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