Contractor Data Engineer

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Requirements:

• Excellent level of English and Spanish (written and spoken)
• Experience with database systems like SQL and NoSQL (MongoDB, Cassandra, CosmosDB, Redis, MSSQL, MySQL…)
• Experience with Data warehousing solutions (Azure Synapse, AWS Redshift, etc.)
• Experience with ETL tools (Data Factory, Databricks, Amazon EMR, Hadoop, Spark, etc.)
• Experience with Machine learning (Tensorflow, PyTorch, scikit-learn, NumPy, Pandas, etc.)
• Experience with 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
• Ideally a master's degree in data engineering

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