Data Engineer

We are looking for an experienced Data Engineer with a passion for RF technology to join our leading tech team.

The role includes: Designing, developing, and optimizing Big Data infrastructures for Real-Time processing. Building and managing Data Pipelines in Python (including Threads, asyncio, multiprocessing). Managing ETL/ELT processes with Kafka, PostgreSQL, Redis, Amazon S3, and Kubernetes.

Supporting Machine

Learning workflows, including Data Prep and Feature Store. Developing APIs using FastAPI/Flask. Working with cloud infrastructures and Kubernetes, optimizing resources.

Handling RF data: ingestion, basic signal processing, and parsing various formats. Integrating with data storage systems. Maintaining thorough documentation using Jira and Confluence.Job location- CentralScope of hours: 100 hours.Requirements: Student in Electrical/Electronic Engineering, Software Engineering, or Computer Science.3+ years of Data Engineering experience with Big Data and Real-Time Processing.Proficiency in Python (Threads, asyncio, multiprocessing).Experience building Data Pipelines in Python.Hands-on experience with Kafka, PostgreSQL, Redis, Amazon S3.ETL/ELT experience with structured and unstructured data.Experience with Airflow, Luigi, or Prefect.Kubernetes and CI/CD pipeline management.Linux environment experience.Strong self-learning and teamwork skills.RF technology familiarity - significant advantage.Docker experience.Big Data/Streaming systems experience.Knowledge of HDF5, Protocol Buffers, TCP, SMB.Machine Learning process support experience .This position is open to all candidates.