Key RequirementsStrong SQL proficiency — must be comfortable querying large, messy, real-world datasetsHands-on experience with data pipelines, ETL/ELT, or data engineering (e.g., Snowflake, BigQuery, Databricks, Airflow, dbt)Comfortable in customer-facing or cross-functional environments — able to communicate technical work clearly to external stakeholdersExperience working at an early-stage startup (Series A–C); no pure big-tech-only backgroundsComfort operating with unstructured, imperfect, evolving data — this role requires thriving in ambiguity, not waiting for clean inputs.What will you be doing?Curate and deliver media datasets (audio, video, speech) end-to-end — from ingesting raw partner data to QA-ing and shipping final packages to customersTranslate customer AI data requirements into concrete curation strategies, working hands-on with messy, unstructured, real-world dataBuild scripts, lightweight tooling, and repeatable QA workflows to improve delivery speed and consistencyServe as the internal catalog expert — tracking content coverage, metadata quality, and gaps relative to customer demandCollaborate cross-functionally with Sales, Product, and Engineering to inform platform roadmap and reduce bespoke delivery work over time.Regards,Mohammed ilyas,PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com
