Python, Data Engineer, AWS
2 weeks ago
Python, Data Engineer, AWS
Key responsibilities
- Develop and maintain data pipelines Build, test, and maintain ETL (Extract, Transform, Load) processes to move and transform data.
- Design and manage data architecture Construct and manage data infrastructure, including data warehouses, data lakes, and databases.
- Automate data processes Use Python to automate tasks and build data processing applications.
- Integrate data sources Connect internal and external data sources and APIs, and ensure system compatibility.
- Ensure data quality and security Implement data quality checks, security controls, and access management policies.
- Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand requirements and deliver solutions.
- Optimize systems Monitor system performance, troubleshoot issues, and implement optimizations for reliability and efficiency.
Required skills and qualifications
- Programming Proficiency in Python is a must. SQL and other languages like Java or Scala are also valuable.
- Databases Strong knowledge of database management systems (relational and NoSQL) and data modeling.
- Big Data Technologies Experience with big data frameworks such as Apache Spark and Hadoop.
- Cloud Platforms Familiarity with cloud services is often required, such as AWS, GCP, or Azure.
- Version Control Experience with version control systems like Git.
- Problem-Solving Strong analytical and problem-solving skills.
- Communication Excellent communication skills to collaborate with technical and non-technical teams.
- Education A bachelors degree in Computer Science, Engineering, or a related field is typically required.
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