Data Engineer
2 months ago
**Responsibilities**:
- Develop and maintain robust data pipelines that ensure high-quality data is available for analysis and reporting.
- Collaborate with data scientists and analysts to define data requirements and deliverables.
- Integrate data from various sources, ensuring data integrity, accuracy, and security.
- Perform data cleaning and transformation to prepare data for analysis.
- Monitor the performance of data pipelines and troubleshoot any data-related issues.
- Design and implement strategies for data storage, retrieval, and processing.
- Maintain and enhance existing data solutions to improve reliability and performance.
- Document data processes, data flows, and transformation logic clearly.
- Stay current with industry trends and technologies related to data engineering.
**Requirements**:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4 years of experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with relational databases.
- Experience with data processing frameworks and tools (e.g., Apache Spark, Kafka) is a plus.
- Hands-on experience with ETL tools and processes.
- Familiarity with cloud-based data solutions (e.g., AWS, Google Cloud) is desirable.
- Strong programming skills in languages such as Python, Java, or similar.
- Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
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