
Data Engineering Lead
2 weeks ago
We are looking for a Data Engineering Lead to join our team.
The ideal candidate will have experience in designing and implementing data pipelines, developing scalable data storage solutions, and collaborating with cross-functional teams.
Responsibilities:
- Design and implement data pipelines using Python, Apache Beam, or Spark.
- Develop scalable data storage solutions using relational databases (e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), or cloud-based services (e.g., Amazon S3).
- Collaborate with engineers to build efficient data ingestion, processing, and delivery systems.
- Develop and maintain RESTful APIs to serve machine learning models.
- Work with databases, including data modeling, schema design, and query optimization.
- Stay up-to-date with industry trends and advancements in data engineering.
Required Skills:
- 5+ years of experience in data engineering and machine learning.
- Strong proficiency in Python and relevant libraries, including NumPy, pandas, and scikit-learn.
- Experience with machine learning model development, deployment, and maintenance.
- Strong understanding of data structures, algorithms, and software design patterns.
- Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on complex and challenging projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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