Senior Python Engineer- Data Platform

Job description: Senior Python Engineer - Data Platform

Tasks

• You will be part of the Data Platform Engineering team working on the development and implementation of the Codics platform, which is at the heart of our technology.
• The platform consists of three main focal points:
  • Data Acquisition: Development of an ETL/ELT platform for research and production that scales to multi-terabyte data sets.
  • Data curation: Cataloging of thousands of data sets, organization, data quality and end-to-end data line.
  • Code Delivery: Provision of a self-service data platform for hundreds of data sets with a focus on scalability.
• You will work on the development of data products and be actively involved in the wider data and technology community.
• The focus of the work includes
  • Open source technologies
  • Python
  • Spark
  • AIR
  • Kubernetes

Requirements

Essential skills

• 3+ years of professional experience in software development, ideally in Python.
• Strong academic background and university degree with high mathematical and computational content (e.g. computer science, mathematics, statistics or finance).
• Proven track record of successful collaboration in delivering complex technical solutions with excellent communication skills.
• Experience in building reliable, production-ready applications.
• In-depth knowledge of one or more relevant database technologies (e.g. Apache Kafka, PostgreSQL, Redshift etc.).
• Strong interest in solving data-related challenges on a large scale.
• Mastery of at least one programming language, especially Python, as well as knowledge of software development principles and clean coding practices.
• Self-motivated with the ability to manage time effectively across multiple projects and with competing priorities and deadlines.
• Interpersonal Skills: Ability to establish and maintain close working relationships with quantitative researchers, vendors, and various software/data development teams.
• A self-starter who looks for opportunities, communicates them effectively and delivers them.

Advantages

• In-depth knowledge of data modeling, data lakes/data warehouses/mediation architecture.
• Familiarity with one or more relevant databases or data formats (e.g. Apache Avro, PostgreSQL, Snowflake etc.).
• Experience with large and unstructured data sets.
• Experience with Apache Spark and its ecosystem, familiarity with batch and stream data processing systems.
• Cloud expertise management skills with proven ability to work effectively across different teams and seniority levels.
• Calibration capabilities.
• Certification with one or more of the big data technologies.
• Strong communication skills.

We offer

• A working environment in which challenges offer an opportunity for equality.
• A workplace where inclusion is fundamental and deeply rooted in our culture and values.
• Opportunities for personal and professional development.
• Benefits and activities that create an environment where all employees can learn more about each other.
• Opportunities to make a difference through community service and global initiatives while advancing your career.