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Senior Cloud Software
2 months ago
Klanik is seeking a highly skilled Senior Cloud Software & Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining large-scale data engineering applications using cloud-based technologies.
Key Responsibilities- Collaborate with subject matter experts to clarify requirements and use cases.
- Translate requirements and user stories into functional code, ensuring high-quality software and documentation.
- Develop server-side services that are elastically scalable, secure, and backward compatible.
- Ensure solutions are deployable, operable, and secure by default.
- Write and maintain provisioning, deployment, CI/CD, and maintenance scripts for services.
- Write unit tests, automation testing, and data simulations.
- Support, maintain, troubleshoot, and fine-tune working cloud environments and software.
- Build prototypes, products, and systems that meet project quality standards and requirements.
- Provide technical leadership and documentation to developers and stakeholders.
- Contribute to development plans by providing task estimates.
- Fulfill organizational responsibilities, including sharing knowledge and experience with other teams.
- Bachelor's degree or higher in Computer Science or a related field.
- 5+ years of software development experience in Big Data technologies.
- Advanced knowledge of large-scale parallel computing engines, such as Spark.
- Good experience in building and tuning Spark pipelines in Python.
- Design, build, and maintain data processing pipelines in Apache NiFi and Spark Jobs.
- Extensive knowledge of data structures, patterns, and algorithms.
- Expertise in several back-end development languages and their associated frameworks.
- In-depth knowledge of application, cloud networking, and security.
- Cloud platform knowledge, including Azure public cloud expertise.
- Advanced knowledge of DevOps, CI/CD, and cloud deployment practices.
- Advanced skills in setting up and operating databases.
- Good experience in Databricks, Spark on Kubernetes.
- Good programming experience with Python.
- Experienced in application profiling, bottleneck analysis, and performance tuning.
- Good communication and cross-functional skills.
- Problem-solving skills, team player, adaptable, and hustler.
- Experience working in highly Agile projects.
- Build, test, and maintain tools and infrastructure to support Data Science initiatives.
- Exposure to PowerBI, SpotFire, and Dataiku.
- Knowledge and experience with version control tools, such as Git.
- In-country cloud providers, including Azure Stack.
- Experience deploying machine learning models into production environments.
- Experience with ML training, retraining, Model Registry, and ML model performance measurement.
- Oil and gas industry experience.
- Architectural expertise.