کار از راه دور: Senior Data Engineer (Python)

این آگهی را Proxify برای موقعیت Senior Data Engineer (Python) منتشر کرده است. این موقعیت در سطح ارشد است، یعنی شرکت انتظار دارد تصمیم‌ها را خودتان بگیرید. در دسته «IT و برنامه‌نویسی» جای می‌گیرد و به‌طور کامل دورکاری است. شرکت داوطلبانی را استخدام می‌کند که در اروپا ساکن‌اند.

ابزارهای اصلی نام‌برده در آگهی این‌ها هستند: Python، AWS، Docker، SQL؛ رزومه باید نمونه‌های مشخصی از همین مهارت‌ها را نشان بدهد.

کارفرما رقمی اعلام نکرده است و این موضوع در مصاحبه روشن می‌شود. آگهی درباره ساعت کاری هیچ شرطی نگذاشته است.

این موقعیت از یک بررسی خودکار گذشته است: آگهی‌هایی که مجوز کار خارجی، اسپانسر ویزا، تابعیت مشخص یا سکونت در کشوری معین می‌خواهند، به این فهرست نمی‌رسند.

About us:

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role:

We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

What we’re looking for:

* 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).

* Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.

* Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.

* Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.

* Hands-on experience with Snowflake, BigQuery, or AWS Redshift.

* Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.

* Experience with Git, Docker, and implementing CI/CD for data pipelines.

Nice-to-Have:

* Experience building Real-time Pipelines using Kafka or Flink.

* Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).

* Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.

* Infrastructure as Code (Terraform) experience.

Responsibilities:

* Build and maintain scalable, automated ELT/ETL pipelines that provide a "single source of truth" for the organization.

* Implement rigorous automated testing and monitoring to ensure data integrity and reliability.

* Optimize warehouse storage and compute costs while reducing pipeline latency.

* Partner with Data Scientists and Product Managers to translate business requirements into technical data models.

* Promote a "DataOps" culture within the team, conducting code reviews and sharing best practices.

What we offer:

Get paid, not played

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Predictable project hours

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

Flex days, so you can recharge

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Hand-picked opportunities, just for you

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Compensation

Enjoy the same pay, every month with positions landed through Proxify.