
15h Left Data Engineer
4 weeks ago
Required experience, skills
6+ years of hands-on data engineering development experience in PythonAdvanced knowledge of Python and Linux shell scriptingProficiency in SQL and Data Structures, experience in handling (transformations, read / write) huge volume of data using Python
Experience in performance improvement on data pipelines and a good understanding of Volume, Variety, Veracity, Velocity, and Value concepts in Big Data
- Good knowledge of algorithms and software design principles
- Experience in CI/CD pipelines with one of: Azure DevOps, AWS Code Pipeline, GitHub ActionsFamiliarity with Docker, Kubernetes, and cloud services (Azure, AWS, GCP)Proficient with Kafka, Flink, RabbitMQ or similar technologiesSelf-motivated, able to self-improve, learn new and complex Technologies
- In-depth knowledge and experience in agile processes and principles
- Summary:This JD is targeting a senior-level data engineer with extensive experience in building scalable data infrastructures, working with large datasets, optimizing performance, and applying cutting-edge technologies
- Strong Python and cloud experience are critical, as well as proficiency in Big Data tools and design patterns
- You will also need to be proactive in improving systems and aligning your work with business goals
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