Data Engineer
2 weeks ago
This role is pivotal in designing and implementing efficient, scalable ETL pipelines and developing APIs to facilitate data access and manipulation.
The ideal candidate will have a robust background in data engineering principles, ETL design, and web services development using frameworks like Flask or Django.
Key Responsibilities:
- Design, build, and maintain efficient, reliable, and scalable ETL pipelines using Python to extract, transform, and load data from various sources into data stores.
- Develop RESTful APIs using Flask or Django to enable seamless data access and manipulation by internal and external systems.
- Ensure optimal data processing architecture by implementing effective database solutions and data storage practices.
- Collaborate with the engineering team to integrate ETL processes and APIs into application ecosystems.
- Monitor, troubleshoot, and optimize data systems to ensure reliability and performance.
- Manage data security, backup, and recovery specifications to ensure data integrity and availability.
- Document ETL processes, API endpoints, and data models, maintaining clear and concise documentation for all developed systems.
- Keep abreast of new technologies and advocate for their adoption, where they can enhance the functionality and efficiency of data systems.
Qualifications:
- Bachelor's or master's degree in Computer Science, Engineering, Information Technology, or a related field.
- 3+ years of proven experience in data engineering with a strong emphasis on ETL pipeline design and API development.
- Expertise in Python, with extensive experience using data processing libraries (e.g., Pandas, NumPy) and ETL tools.
- Proficient in developing RESTful APIs with Flask or Django and familiar with API authentication and authorization mechanisms.
- Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with cloud services (e.g., AWS, Google Cloud, Azure) and their data services is highly desirable.
- Strong knowledge of data warehousing concepts, modeling, and schema design.
- Excellent problemsolving skills and the ability to manage complex projects with tight deadlines.
- Strong communication skills, capable of working collaboratively with technical and nontechnical team members.
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