Data Engineer

Summary

Join Codurance, a boutique IT consultancy, as a freelance Data Engineer! You will design and maintain data pipelines, analyze complex datasets, build data infrastructure using various technologies (SQL/NoSQL databases, AWS, Azure, GCP), and create analytics tools. Success requires strong analytical, communication, and teamwork skills, along with proficiency in cloud services and data science frameworks. You'll collaborate with data scientists, architects, and the engineering team to deliver projects, aligning data solutions with business goals. This full-remote position offers flexibility and autonomy, working alongside skilled professionals in a collaborative environment. The role is open to qualified candidates based in Spain.

Requirements

• Excellent level of English and Spanish (written and spoken)
• Database systems like SQL and NoSQL (MongoDB, Cassandra, CosmosDB, Redis, MSSQL, MySQL…)
• Data warehousing solutions (Azure Synapse, AWS Redshift, etc.)
• ETL tools (Data Factory, Databricks, Amazon EMR, Hadoop, Spark, etc.)
• Machine learning (Tensorflow, PyTorch, scikit-learn, NumPy, Pandas, etc.)
• Data APIs (Knowledge of OData, GraphQL, as well as frameworks like FastAPI, Flask etc.)
• Programming skills (preferably Python, Java and Scala)
• Understanding the basics of distributed systems
• Knowledge of algorithms and data structures

Responsibilities

• Create and maintain optimal data pipeline architectures and data models
• Analyze and assemble large, complex data sets that meet business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL databases, AWS, Azure or GCP technologies
• Build analytics tools for both business and data scientists
• Provide and generate actionable insights from data around business performance metrics and report on them
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
• Help in the implementation of algorithms and prototypes
• Enhance data quality and reliability
• Collaborate with data scientists, architects and the rest of the business and engineering team to successfully deliver projects

Preferred Qualifications

Ideally a master's degree in data engineering

Benefits

Full-remote option from whatever location you are in (on the Spanish territory)