Hybrid Marketing Data Engineer

at Progress

• Job title: Marketing Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Python, SQL, Unity
• Location requirements: Hybrid, Bengaluru, India

About the role

• Marketing Data Engineer at Progress, designing and implementing data pipelines for AI-powered applications. Collaborating with marketing operations teams to support data-driven strategies.

Responsibilities

• Transform raw data into clean, structured, and usable formats
• Deploy and automate data transformation pipelines using scalable tools and frameworks
• Design, build, and maintain scalable data ETL pipelines to integrate data from multiple sources
• Configuring data sources, destinations, and event tracking mechanisms between Data Warehouse, ABM, Web Personalization, and MAP tools to ensure accurate customer data integration
• Develop and implement data normalization processes to ensure consistency, accuracy, and usability of customer data
• Own the creation, testing, and validation of audiences/segments and journey workflows to enable targeted marketing activities
• Utilize and train out-of-the-box AI/machine-learning models
• Perform ongoing data quality assurance, including monitoring and verifying data accuracy across marketing systems
• Monitor and optimize data workflows for performance, scalability, and reliability
• Maintain comprehensive documentation of platform configurations, operational workflows, and testing protocols to support team knowledge-sharing and smooth platform operation
• Troubleshoot data and platform issues promptly and collaborate with engineering teams and external vendors to escalate and resolve complex technical problems
• Work closely with data scientists, analysts, and marketing teams to deliver actionable datasets
• Lead complex data projects, propose innovative solutions, and mentor others in solving technical challenges
• Translate complex concepts into clear proposals and updates for stakeholders
• Work independently and efficiently, managing multiple tasks, priorities, and projects simultaneously and successfully
• Stay current with innovations in data management and propose strategies for marketing data orchestration
• Promote best practices in marketing data handling and integration.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 6+ years of experience in data engineering or related roles
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing concepts
• Familiarity with CRM (e.g., Salesforce) is a plus
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance
• Excellent problem-solving skills and ability to work in a collaborative team environment
• Ability to create and manage data objects and relationships
• Familiar with master data management concepts
• Experience with data integration from various sources
• Experience working with large data sets
• General API knowledge
• General knowledge of data normalization best practices/techniques
• Understanding of how ID resolution and customer profile unification works in Unity
• Ability to monitor data flows and resolve anomalies
• Proficiency in Python, SQL, and data pipeline frameworks

Benefits

• Competitive remuneration package
• Employee Stock Purchase Plan Enrolment
• 30 days of earned leave
• An extra day off for your birthday
• Various other leaves like marriage leave, casual leave, maternity leave, and paternity leave
• Premium Group Medical Insurance for employees and five dependents
• Personal accident insurance coverage
• Life insurance coverage
• Professional development reimbursement
• Interest subsidy on loans - either vehicle or personal loans.