Data Engineer, AWS, Mid-level

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November 25

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Leega

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API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

📋 Description

• Build and maintain data pipelines between layers in the data lake, including optimization. • Prepare and model databases. • Ingest databases into the data lake. • Analyze and gather data requirements with users (business stakeholders). • Support the development team with day-to-day tasks and new requests. • Create and sustain data pipelines between layers in the data lake. • Develop and model databases for dashboards, reports, algorithms, and/or refined datasets. • Ingest data into the data lake. • Document activity updates in JIRA daily. • Document metadata and business rules using the standard internal document. • Understand and gather requirements for databases/variables from the business. • Perform data quality analysis and ensure analytics standards are being applied. • Version developed code.

🎯 Requirements

• Software development • Cloud computing on the AWS platform • ETL concepts • SQL • Spark • Programming in Python and/or PySpark • Open Source projects • SRE (concept) • Redshift • S3 • Crawler • Glue (AWS Glue) • Kubernetes • Airflow