Desarrollador Python

● 5+ years of professional software development experience in production environments.
● Strong proficiency in Python, including data processing, scripting, and backend development.
● Hands-on experience with Jupyter Notebooks for exploratory data analysis and modeling.
● Practical experience working with Databricks (Spark, Delta Lake, ETL workflows).
● Solid understanding of MySQL, including schema design, complex queries, and query optimization.
● Experience managing and optimizing batch and distributed compute workloads using Amazon Batch.
● Familiarity with Claude or other LLMs for workflow automation, data exploration, and documentation support.
● Strong understanding of data structures, algorithms, and software engineering best practices.
● Experience building APIs or microservices in Python.
● Ability to work with cloud-based infrastructures (AWS preferred).
● Excellent analytical, problem-solving, and debugging skills.
● Strong communication and teamwork abilities, collaborating effectively with engineering and research teams.
● Bachelor’s degree in Computer Science, Engineering, or a related technical field.

ClickIT: DevOps and Software Development is a Cloud and DevOps Agency who has developed cloud based solutions for almost 10 years, for customers from all around the world. Our core competencies are Financial Services, Healthcare, MarTech, Ecommerce, Big Data & Analytics and our Experience comes with startups and mid-large enterprises. We are AWS and GCP certified partners with an experience of helping more than 200 product and service-centric companies based out of the US with their cloud migration and DevOps initiatives. This position its to be part of our team ClickIT is looking for a Mobile Developer with experience in React Native, iOS and Android.

We are seeking a highly skilled Python Developer to join our technology team and help build the next generation of data, modeling, and analytics systems that power our U.S. consumer credit investment platform. In this role, you will develop scalable data pipelines, implement ML-driven financial tools, and work closely with quantitative researchers to optimize forecasting algorithms. You will work extensively with Python, Jupyter, Databricks, MySQL, Amazon Batch, and Claude to support large-scale data ingestion, processing, and automation. This position requires strong problem-solving skills, a passion for high-performance computing, and the ability to deliver high-quality solutions in a fast-paced FinTech environment.

● Develop and maintain scalable data ingestion, transformation, and processing pipelines.

● Build analytical workflows using Python, Jupyter Notebooks, and Databricks (Spark, Delta Lake).

● Optimize and orchestrate large-scale compute jobs using Amazon Batch.

● Design, implement, and maintain backend services and APIs to support data and modeling workflows.

● Collaborate with the quantitative research team to enhance forecasting algorithms and ML-driven financial models.

● Develop and improve ML-powered financial analytics tools for credit and portfolio insights.

● Integrate internal systems with FinTech platforms and financial institutions.

● Use Claude and other LLMs to support automation, data exploration, documentation, and workflow optimization.

● Ensure reliability, accuracy, and performance across data systems and production pipelines.

● Troubleshoot and resolve issues across data pipelines, models, and integrations.

● Write clear, maintainable, and well-documented code following industry best practices.

● Participate in code reviews, technical discussions, and continuous improvement initiatives.

● Collaborate closely with cross-functional teams, including engineering, research, and product.