Data Analysis and Development
Analyze customer data, event, and large-scale datasets to generate insights, validate data quality, and support business decision-making.
Write, optimize, and maintain advanced SQL queries across Presto, Hive, and NoSQL systems.
Use Python to support data processing, automation, workflow operations, and API integrations.
Work within cloud platforms (primarily AWS) and apply general cloud data architecture principles.
Perform exploratory data analysis to validate assumptions, identify anomalies, and support stakeholder requirements.
Document data processes, business rules, logic, and workflows in Confluence or similar platforms.
Collaborate with engineering, analytics, marketing, CRM teams, and SMEs to define data requirements and ensure accuracy.
Operate CDP workflow orchestration tools (e.g., Digdag, TD Workflows) to manage pipelines and scheduled jobs.
Enhance and monitor data quality frameworks including validation checks, alerts, and pipeline observability.
Follow CI/CD and Git-based version control best practices for SQL, scripts, and documentation.
Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII).
Solve end-to-end data challenges—from ingestion through transformation to analysis and activation.
Maintain rigorous attention to detail, especially with customer-level and production data.
Proactively improve automation, data quality, workflow reliability, and system performance.
Communicate insights and technical concepts clearly to both technical and non-technical audiences.
Partner with SMEs to understand business context, refine requirements, and validate solution accuracy
