Accountabilities:

• Design, build, and maintain scalable ETL/ELT pipelines to ingest third-party data (e.g., Google Analytics, Sprinklr, paid media, social, and other marketing data sources)
• Integrate web traffic, campaign, and engagement data into AWS landscape.
• Develop automated workflows for data extraction via APIs, webhooks, and batch processes.
• Monitor and optimize data pipeline performance and reliability.
• Ensure clean, structured, and standardized datasets across multiple external sources.
• Maintain data consistency, deduplication, and normalization practices.
• Implement validation checks and monitoring to ensure data accuracy and completeness.
• Document data sources, transformations, and lineage.
• Support compliance and privacy considerations (e.g., consent frameworks, tracking limitations).
• Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions
• Develop data lake solutions leveraging new or existing technology to advance the company's business
• Design, upgrade and implement new data workflows, automation, tools and API integrations
• Write and maintain technical documentation
• Perform unit tests and system integration tests
• Work with the team using Agile methodology

Qualifications:

• Bachelor’s Degree holder (Engineering/Computer Science preferred but not required)
• Experience dealing with various stakeholders in a global perspective
• 5-7 years’ experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases
• Experienced with relational databases like MS SQL Server, PostgresSQL, and Oracle
• Experienced in the following programming/scripting languages:  SQL, Python, Shell/Powershell,
• Experienced with AWS Cloud
• Experienced with working on Structured, Semi-Structured, Unstructured datasets
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
• Proven stakeholder management
• Proven time and project management skills, experience in Agile Methodology is desired
• Good communication and presentation skills
• Analytical, structured, organized, and proactive
• Willing to work on a graveyard schedule
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

Preferred Qualifications:

• Experience working with web analytics data models (e.g., GA4)
• Familiarity with marketing attribution and campaign tracking frameworks (UTM structures).
• Experience handling high-volume marketing data.
• Knowledge of data governance, privacy, and consent frameworks.

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