Data Engineer
4 weeks ago
Job Overview:
Development, monitoring, and maintenance of data pipelines across AE clusters involves leveraging technical expertise to ensure seamless data flow.
Primary Responsibilities:
- Develop and maintain data pipelines for various AE plants, focusing on scalability and efficiency.
- Design and implement optimal data pipeline architecture, considering scalability and reliability.
- Assemble large, complex data sets that meet business requirements, applying analytical skills.
- Identify and implement process improvements, automating manual processes and optimizing data delivery.
- Collaborate with stakeholders, including data officers and stewards, to resolve technical issues and support data infrastructure needs.
- Work on incident diagnosis, routing, evaluation, and resolution, analyzing root causes and creating incident closure reports.
Qualifications:
- Bachelor's degree in a related technical field or equivalent practical experience.
- 3-4 years of experience in Java or Scala software development, with a focus on large-scale software development.
- Excellent software engineering skills, data structures, algorithms, and software design.
- Strong problem-solving, investigative, and troubleshooting skills.
Additional Information:
Skills:
- Self-starter with strong execution and project management capabilities.
- Effective collaboration and interpersonal skills, with ability to work with all levels of the organization.
- Outstanding written and verbal communication skills.
- High collaboration and perseverance to drive performance and change.
Key Competencies:
- Distributed computing systems.
- Experience with CI/CD tools, such as Jenkins or GitHub Actions.
- Experience with Python programming and good working knowledge of SDLC.
- Hands-on experience with shell scripting, SCM tools (Git/Bitbucket), Docker, and Kubernetes.
- Experience in developing data pipelines using Spark and Scala, knowledge of Kafka/Flume, and problem-solving skills.
- Experience in customer experience, good debugging and troubleshooting skills, code review, and writing Python and shell scripts.
- In-depth knowledge of SQL and other database solutions, and a strong understanding of Apache Hadoop-based analytics.
- Hands-on experience with IntelliJ, GitHub/Bitbucket, and HUE.
Soft Skills:
Required Skills:
- Good communication skills.
- Ability to use extensively the latest IT communication tools.
- Decent level in English as a business language.
Key Performance Indicators:
Job Requirements:
Job Clusters:
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