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Octal Technical Solutions este o companie de consultanță IT și furnizor de soluții personalizate cu sediul în Filipine, fondată în 2004. Serviciile sale includ recrutarea de personal IT și extinderea echipelor la distanță, dezvoltarea de aplicații personalizate, asistență pentru infrastructură și dezvoltarea de site-uri de comerț electronic. Compania oferă, de asemenea, soluții tehnologice pentru afaceri, inclusiv Acumatica Cloud ERP pentru planificarea online a resurselor întreprinderii și IBM Watsonx Assistant pentru servicii de relații cu clienții bazate pe inteligență artificială. Cu o echipă de 11–50 de angajați, Octal sprijină organizațiile care caută expertiză tehnologică practică în domeniile consultanței, logisticii și operațiunilor asociate software-ului ca serviciu.
Full Stack Python Developer, Data and AWS
Build Python data pipelines, Snowflake workflows, and REST integrations on AWS. Replace Alteryx self-service applications with web tools for internal teams.
Filipine1.560.000 ₱ – 1.950.000 ₱ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer full-stackInginer softwareDescriere
- Develop backend data pipelines and self-service application layers.
- Build Python pipelines and Snowflake workflows.
- Create REST API integrations.
- Replace more than 40 Alteryx Gallery applications used by five internal teams with web-based self-service tools.
- Contribute across the engineering lifecycle, using Claude for code generation, agentic task execution, architecture reviews, UI scaffolding, test generation, and documentation.
- Write precise prompts, break complex work into agentic tasks, critically review AI-generated code, and refine the results.
- Deliver production-ready code with a lean team by a firm December deadline.
Cerințe
- At least five years of Python development using pandas, requests, openpyxl, and regular expressions.
- Experience owning production codebases from end to end.
- Strong Snowflake SQL skills, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT.
- Ability to design data pipelines from scratch, choose batch or event-driven processing, select suitable AWS services, and explain architecture decisions.
- REST API experience with OAuth2, pagination, rate limiting, and JSON/XML parsing.
- Full-stack skills, including a Python backend with Flask or FastAPI and an HTML/JavaScript frontend.
- Hands-on experience architecting AWS data pipelines with Lambda, Step Functions or Glue, ECS/Fargate or EC2, S3, Secrets Manager, and EventBridge.
- Demonstrated production use of LLMs such as Claude, Copilot, or GPT-4 as active co-authors.
- Hands-on experience with agentic coding tools such as Claude Code, Cursor, or Devin.
- Ability to reverse-engineer undocumented legacy workflows and reproduce their outputs exactly.
- Proficiency with Git, including branching, pull requests, and versioned releases.
- Experience owning production-scale pipelines with multiple consumers, defined schedules, SLA implications, and production debugging.
- Microsoft Graph API experience is a strong plus.
- Snowflake architecture experience is a strong plus.
- Experience building self-service data tools or internal operations tooling is a strong plus.
- Familiarity with Alteryx Designer is a strong plus.
- Production workflow orchestration experience with Airflow, Prefect, or AWS Step Functions is a strong plus.
- React or Vue experience is a strong plus.
- Familiarity with KNIME Analytics Platform is a strong plus.
- Experience with data quality libraries such as Great Expectations, phone numbers, or email-validator is a strong plus.
- Experience breaking complex engineering problems into prompt sequences for agentic AI execution is a strong plus.
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