About the role
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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