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Senior Data Engineer
Silver.devCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing multi-source production data platforms, with a strong focus on workflow orchestration, data transformation, and quality assurance. Proficient in SQL, PostgreSQL, and Python, with hands-on experience in cloud technologies and web scraping tools.
Highest-signal resume keywords
Data Platform ArchitectureWorkflow Orchestration (Airflow, Dagster, Prefect)SQL and PostgreSQL OptimizationPython Asynchronous ProcessingWeb Scraping (Scrapy, Playwright, Selenium)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own Fundable’s data platform from architecture through production
- Build concurrent ingestion for provider APIs, webhooks, files, and web scraping, with rate limits and failure handling
- Orchestrate scheduled workflows and historical backfills using Airflow, Dagster, or Prefect
- Build event-driven intake with Pub/Sub or Cloud Tasks, including retries, dead-letter queues, and controlled replay of failed work
- Preserve original provider payloads in Google Cloud Storage before transforming them with dbt
- Establish medallion layers for raw, standardized, and curated data
- Implement idempotent upserts, safe retries, replay, and historical backfills
- Make data traceable to its source and safe to reprocess
- Define data contracts, automated validation, pipeline tests, freshness and failure monitoring
- Design and optimize PostgreSQL schemas, queries, and loading patterns
- Integrate provider enrichment and LLM-based structured extraction from text
Requirements
What you’ll need- Experience building multi-source production data platforms from zero to one, from initial architecture and pipeline implementation through deployment and ongoing operation
- Production experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery; Airflow experience is preferred
- Hands-on production experience with dbt and GCP
- Experience building event-driven systems with messaging or task queues, including asynchronous processing and failure recovery
- Strong SQL and PostgreSQL skills, including data modeling, query optimization, and reliable incremental loading
- Experience with data contracts, raw and curated storage, retention policies, and automated quality checks
- Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX
- Hands-on web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup, including concurrent scraping, rate limits, and failure handling
- Physically located in Argentina
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionEvent-Driven SystemsData ContractsIdempotent UpsertsData Transformation (dbt)Concurrent ProcessingData ModelingQuery OptimizationAutomated Quality ChecksHistorical Backfills
Tools & Technologies
Google Cloud Platform (GCP)AirflowDagsterPrefectPub/SubCloud TasksPostgreSQLScrapyPlaywrightSelenium
Industry Keywords
Data EngineeringData QualityData StorageRetention PoliciesAsynchronous Processing