We are looking for a Data Engineer who can build and optimise data pipelines, manage ETL processes, and support data modelling efforts. The successful candidate will help drive our analytical initiatives forward.
Responsibilities
Design, build, and maintain scalable data pipelines.
Work with stakeholders to understand data requirements and build appropriate solutions.
Ensure high data quality and integrity in data processing.
Implement ETL processes to consolidate data from various sources.
Develop data models and architecture that support business analytics.
Collaborate with data scientists to enhance analytical models and algorithms.
Automate data collection processes for seamless data integration.
Conduct performance tuning on data storage queries and pipelines.
Troubleshoot data issues and provide solutions in a timely manner.
Document data architecture, data models, and processes.
Requirements
Education
Bachelor's degree in Computer Science, Information Technology or a related field
Experience
3+ years of experience in data engineering or related field
Technical Skills
Python
SQL
Apache Spark
Data Warehousing
AWS
Soft Skills
Analytical thinking
Communication
Languages
English: Fluent
Advantageous
Experience with cloud services like AWS or Azure: Knowledge of cloud services utilized for data storage and processing.
Familiarity with machine learning concepts: Understanding of basic machine learning techniques and their implementation.
Benefits
Competitive salary and performance-based bonuses
Medical aid and provident fund contribution
Flexible hours with options for remote work
Professional development opportunities
Company Culture
Innovation: We embrace innovation and encourage our team to think creatively in their approach to solving problems.
Teamwork: We foster a culture of teamwork and collaboration, valuing diverse perspectives and ideas.
Continuous Learning: Our commitment to continuous learning allows employees to enhance their skills and advance their careers.
Status: Closed
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