Senior Data Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior

📍 Location: Worldwide

💸 Salary: 167471.0 USD per year

🔍 Industry: Software Development

🏢 Company: Float.com

🗣️ Languages: English

🪄 Skills: PythonSQLKafkaMachine LearningAlgorithmsData engineering

Requirements:

Expertise in ML, expert systems, and advanced algorithms (e.g., pattern matching, optimization) with applied experience in Scheduling, Recommendations, or Personalization.
Proficient in Python or Java and comfortable with SQL and Javascript/Typescript.
Experience with large-scale data pipelines and stream processing (e.g., Kafka, Debezium, Flink).
Skilled in data integration, cleaning, and validation.
Familiar with vector and graph databases (e.g., Neo4j).

Responsibilities:

Lead technical viability discussions:
Develop and test proof-of-concepts for this project.
Analyse existing data:
Evaluate our data streaming pipeline: Y
Lead technical discussions related to optimization, pattern detection, and AI, serving as the primary point of contact for these areas within Float.
Develop and implement advanced algorithms to enhance the Resource Recommendation Engine and other product features, initially focused on pattern detection and optimization.
Design, implement, and maintain our streaming data architecture to support real-time data processing and analytics, ensuring data integrity and reliability.
Establish best practices and standards for optimization, AI, and data engineering development within the organization.
Mentor and train team members on optimization, AI, and data engineering concepts and techniques, fostering a culture of continuous learning and innovation.
Stay updated with the latest trends and related technologies, and proactively identify opportunities to incorporate them into Float's solutions.

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