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Part-time Data Engineer
2 months ago
About Asterix Communications
Asterix Communications is a dynamic and innovative company that values collaboration and growth. We're seeking a skilled Part-time Data Engineer to join our team and contribute to shaping our company's success.
Job Summary
We're looking for a highly motivated and experienced Data Engineer to design, build, and maintain robust and efficient data pipelines. The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
- Data Pipeline Development
Design, build, and maintain data pipelines to process and analyze large volumes of structured and unstructured data.
Collaboration and CommunicationCollaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Data IntegrationDevelop data integration solutions to ingest data from various sources, including databases, APIs, and external systems.
Data OptimizationOptimize data workflows for performance, scalability, and reliability, ensuring high availability and data quality.
Data Transformation and CleansingImplement data transformation and cleansing processes to prepare data for analytics and reporting purposes.
Testing and DebuggingConduct thorough testing and debugging of data pipelines to identify and resolve issues promptly.
Infrastructure MonitoringContinuously monitor and optimize data infrastructure to improve efficiency and resource utilization.
Professional DevelopmentStay updated on emerging technologies and industry trends in data engineering and recommend best practices for adoption.
DocumentationDocument system architecture, design specifications, and operational procedures to facilitate knowledge sharing and maintainability.
Requirements
- Education
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
ExperienceProven experience as a Data Engineer, Python Engineer or similar role, with a strong emphasis on Python programming.
SkillsSolid understanding of data structures, algorithms, and software design principles.
Technical SkillsProficiency in building and optimizing complex SQL queries for data manipulation and analysis.
Big Data TechnologiesHands-on experience with big data technologies such as Hadoop, Spark, or Kafka.
Distributed ComputingFamiliarity with distributed computing frameworks and containerization technologies (e.g., Docker, Kubernetes).
Cloud PlatformsExperience with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
Soft SkillsStrong analytical and problem-solving skills with a keen attention to detail.
CommunicationExcellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment.