Analyst - Data Engineering
Tiaa Search0+ yrsMumbaiHybridDirect career pageEst. 5–12 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and optimize large-scale data pipelines supporting marketing analytics, campaign measurement, brand tracking, and customer segmentation.
- Ensure data accuracy, completeness, and timeliness across marketing data platforms, implementing automated data quality controls and resolving systemic errors.
- Collaborate with marketing technology, analytics, and business teams to translate data requirements into scalable data engineering solutions and support data governance initiatives.
Minimum Requirements
- Strong hands-on experience with Python and SQL for data extraction, transformation, and validation.
- Experience with cloud-based data platforms such as Snowflake or AWS.
- Understanding of data quality concepts, API/File Transfer data pipelines, and ETL/ELT processes.
- Work Experience Required: No experience required. University degree preferred.
Ideal Candidate Profile
- Experience working with large, complex marketing data sets and familiarity with marketing data platforms (e.g., Google Analytics, Salesforce Marketing Cloud, CRM data).
- Comfortable operating under direct supervision in a collaborative environment that requires effective communication between technical and business stakeholders.
- Skilled at monitoring and improving data quality and managing documentation and production release processes related to marketing data ecosystems.