Distinguished Data Engineer

hace 3 días


Madrid, Madrid, España Mytechtal A tiempo completo

At Mytechtal, we are looking for a highly skilled and experienced Senior Full Stack Engineer to join our team. This is a fantastic opportunity to drive data engineering, cloud infrastructure optimization, and machine learning integration for our next-gen platform.

About the Role

We are seeking a talented professional with a strong background in data systems design, cloud infrastructure, and data engineering. As a key member of our technical team, you will leverage data pipelines, AWS cloud services, and cutting-edge machine learning technologies to help scale our data systems and support product initiatives.

Main Responsibilities
  1. Data Engineering & System Optimization: Design and implement scalable data pipelines for ETL (Extract, Transform, Load), leveraging cloud technologies and ensuring efficient data processing.
  2. Cloud Infrastructure Management: Optimize and manage AWS cloud infrastructure (EC2, S3, Lambda, RDS) to ensure high availability and reliability of our data systems.
  3. Machine Learning & Automation: Automate data workflows and integrate machine learning models (TensorFlow, PyTorch) to improve data accuracy, scalability, and efficiency.
  4. KPIs & Performance Tracking: Define, track, and optimize key performance indicators (KPIs) to measure system performance, data flow, and model efficacy.
  5. Team Leadership & Mentorship: Collaborate with cross-functional teams, provide mentorship to junior engineers, and lead data-driven decision-making.
Key Qualifications

To be successful in this role, you should have:

  • A minimum of 10 years as a Full Stack Developer, with a strong focus on data systems design, cloud infrastructure, and data engineering.
  • Proficiency in TypeScript, Python, and familiarity with testing frameworks (e.g., Jest, PyTest).
  • Strong experience with AWS services (EC2, S3, Lambda, RDS) for cloud-based architecture.
  • Expertise in SQL and relational databases, with a track record of optimizing data storage and retrieval.
  • Experience in building and maintaining machine learning models (experience with TensorFlow or PyTorch preferred).
  • Familiarity with Apache Kafka, Apache Airflow, and other data ingestion and workflow orchestration tools.
  • Strong understanding of DeFi (Decentralized Finance) ecosystems and how to integrate decentralized data into traditional systems.
Location

This role is based in Montreal, Canada, and relocation is not required.

Salary

The estimated salary for this position is $120,000 - $150,000 per year, depending on experience.



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