Python Data Engineer at Fetcherr

Netanya, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud Technologies, APIs, Microservices, Data Pipelines, Infrastructure Management, GCP, Testing, Version Control, Docker, Kubernetes, CI/CD, SQL, NoSQL, Data Modeling, Problem-Solving

Industry

Software Development

Description

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries. Fetcherr is looking for a highly skilled and experienced Senior Python Developer to spearhead the development of robust infrastructure and services that power our data platform and data-driven products. You will be instrumental in building scalable, reliable, and efficient systems that enable data engineers and analysts to ingest, process, and serve large-scale data for production use. This role requires a deep understanding of Python, cloud technologies, and a passion for building foundational backend and data infrastructure. If you are a seasoned developer with a proven track record in backend and data engineering, and you’re excited about building core data systems at Fetcherr, we want to hear from you. Responsibilities: Design, build, and maintain scalable, high-performance backend services and infrastructure for Fetcherr’s data platform. Develop and manage APIs and microservices that support data pipelines, internal services, and end-user applications. Implement, optimize, and maintain data pipelines for ingesting, processing, transforming, and serving large volumes of data. Ensure the reliability, security, and efficiency of data processing and deployment environments through robust infrastructure management. Collaborate with Data Engineers, Analytics, and Product teams to understand data infrastructure needs and deliver scalable solutions. Establish and maintain best practices for Python development, including coding standards, testing (unit, integration, E2E), reproducibility, and version control. Leverage cloud platforms (e.g., GCP) to build and manage scalable infrastructure, including compute, storage, and networking resources. Implement monitoring, logging, and alerting to ensure the health, performance, and reliability of data services and pipelines. Contribute to architectural decisions and the long-term technical direction of Fetcherr’s data infrastructure. Stay up to date with industry trends and best practices in data engineering, cloud computing, and backend architecture. Requirements 5+ years of professional experience in backend software development, with a strong emphasis on Python. Proven experience building and operating production-grade systems and scalable data infrastructure. Strong understanding of designing applications and data services that scale and operate reliably in cloud environments. Expertise in designing and implementing APIs and microservices supporting data platforms and data workflows. Solid experience with cloud platforms, particularly GCP (preferred), including compute, storage, networking, and managed data services. Demonstrated experience with best coding practices, including testing, reproducibility, and version control (e.g., Git). Familiarity with containerization technologies such as Docker and orchestration platforms like Kubernetes. Experience with CI/CD pipelines and tools for automated testing and deployment. Proficiency in database technologies, both SQL and NoSQL, including data modeling and performance optimization. Excellent problem-solving, analytical, and debugging skills. Strong communication and collaboration skills, with the ability to clearly articulate technical concepts. Nice to have: Hands-on experience with data engineering platforms and frameworks (e.g., Apache Spark, Beam, Airflow). Experience building and maintaining large-scale data pipelines and ETL/ELT workflows. Experience with data streaming technologies (e.g., Kafka, Pub/Sub). Understanding of data reliability, data quality, and observability practices. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Knowledge of security best practices for cloud-based data platforms and applications.

Responsibilities

Design, build, and maintain scalable backend services for Fetcherr’s data platform. Collaborate with teams to deliver scalable solutions and ensure the reliability and efficiency of data processing environments.