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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
- 5+ years of software development experience in Big Data technologies (Spark, Database & Data Lakes)
- Advanced knowledge of large-scale parallel computing engines (Spark) – provisioning, deployment, development, operation, and support
- 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 with several back-end development languages and their associated frameworks
- In-depth knowledge of application, cloud networking, and security, as well as related development best-practices and patterns
- Cloud platform knowledge – Azure public cloud expertise
- Advanced knowledge of DevOps, CI/CD, and cloud deployment practices
- Advanced skills in setting up and operating databases (relational and non-relational)
- 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
- Build, test, and maintain tools and infrastructure to support Data Science initiatives
- Exposure in PowerBI, SpotFire, Dataiku
- Knowledge and experience with version control tools (Git)
- In-country cloud providers – Azure Stack
- Experience deploying machine learning models into production environments
- Experience with ML training/retraining, Model Registry, ML model performance measurement
- Oil and gas industry experience
- Architectural expertise
