Remote Data Engineer

Description:

• Collaborate with cross-functional teams to design and build scalable data solutions supporting product innovations and business insights.
• Develop and maintain robust data pipelines for complex data collection, ingestion, and transformation processes.
• Work closely with R&D in data science and AI to provide data.
• Design mechanisms for data validation, quality, and reliability to ensure accuracy and trustworthiness of data sources.
• Diagnose and resolve data-related issues to enhance performance and scalability of data systems.
• Contribute to creating data governance and security protocols to safeguard sensitive information.

Requirements:

• Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related field.
• Proficiency in relational databases (e.g., MySQL, PostgreSQL).
• Strong experience with data pipeline and workflow management tools (e.g., dbt).
• Familiarity with big data technologies like Spark and streaming technologies such as Kafka.
• Knowledge of cloud services and architecture (AWS, Azure, or GCP) with a focus on data storage and computing services.
• Experience with data integration, ETL processes, and data warehousing solutions.
• Proficiency in Python with a focus on data-centric programming.
• Experience with machine learning algorithms, data modeling techniques, and Large Language Models.
• Familiarity with Graph Databases (e.g., Neo4j).

Benefits:

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge AI technology.
• Collaborative work environment with cross-functional teams.
• Continuous learning and professional development opportunities.
• Chance to contribute to innovative projects in a dynamic industry.