Senior Data Engineer - Mid Level

Detalles de la oferta

LyRise is a leading platform that connects organizations with AI talent, enhancing teams' capabilities to tackle complex challenges and drive innovation. As we continue to grow, we are looking for a Senior Data Engineer to join our dynamic team.

Role Overview:

As a Senior Data Engineer at LyRise, you will play a pivotal role in managing and optimizing our data architecture. You will work closely with data scientists and analysts to ensure data availability, integrity, and quality for analytics and reporting purposes.

Key Responsibilities:

- Design, implement, and maintain data pipelines and workflows to ingest, transform, and validate data from various sources.
- Optimize database performance, scalability, and reliability to support analytical workloads.
- Develop and maintain documentation for data systems, ensuring clarity and accessibility for stakeholders.
- Collaborate with cross-functional teams to define and implement data-related initiatives that drive insights and business value.
- Monitor data quality and implement procedures to improve data accuracy and consistency.
- Stay current with industry trends and advancements in data engineering technologies.

Requirements

Technical Skills:

- Proven experience as a Data Engineer or in a similar role, with a strong background in data warehousing and ETL processes.
- Proficiency in programming languages such as Python, SQL, or Java.
- Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
- Familiarity with cloud services such as AWS, Google Cloud, or Azure.
- Knowledge of database systems (SQL and NoSQL) and data modeling principles.
- Experience with data visualization tools and understanding of data analytics applications.

Other Requirements:

- Excellent problem-solving skills and attention to detail.
- Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
- Ability to work in a fast-paced, Agile environment and manage multiple priorities.
- A degree in Computer Science, Engineering, or a related field is preferred.

Benefits

Why Join Us?

- Learn and grow by working with some of the best in the business
- Opportunity to work on cutting-edge AI technologies in a collaborative, innovative environment
- Flexible remote work options and a supportive team culture
- Competitive salary and benefits package
- Professional growth and development opportunities in the fast-evolving field of AI


Salario Nominal: A convenir

Fuente: Allthetopbananas_Ppc

Requisitos

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