Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py6an

The client is a general leader in professional information services. Professionals in the areas of healthcare, legal, business, tax, accounting, finance, audit, risk, and compliance rely on the client's market-leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world. They combine deep domain knowledge with specialized technology.

**Place of work**: Remote (LatAm only).
**Contract type**: Full time (6-8 hours overlap with EST) - Contractor (12-month contract)

**Selection process**: TBC

Our client specializes in helping their highly-skilled, global technology talent community in emerging markets, connect with hundreds of leading companies like InVision, Cloudflare, and ViacomCBS who leverage them to scale their technology teams quickly and cost-effectively.

**Requisitos**:
**Must-Have Skills**: Advanced English proficiency +5 years of exp. in Python programming (Dependency Injection, List, Tuples, Decorators, Generators,



Pandas, Lambda, Flask API, Poetry) Python Data Engineering (NumPy, SciPy, scikit-learn, pandas, matplotlib, anaconda, Jupyter, etc.) Exp. building, optimizing, and scaling data pipelines, architectures, and data sets in cloud-based ( AWS or Azure ) environments Advanced working SQL and NoSQL knowledge E xp. working with relational databases ( RDS, Oracle, Postgres ) Exp. working with document databases ( DynamoDB, Cosmos DB ) Exp. with cloud data warehouses ( Redshift, Azure SQL Data Warehouse ) and search engines ( Solr, Elasticsearch ) Working knowledge of message queuing, stream processing, and highly scalable data stores

**Nice-to-Have Skills**: Exp. with tools such as Kafka, Spark, or Hadoop is a plus Working knowledge of languages such as Java, C++, or C# Exp. working with agile and Software Development Lifecycle tools ( JIRA, Confluence, Git )

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py6an

📌 Python Engineer (Data Engineering, SQL) (Buenos Aires)
🏢 MindIT HR Agency
📍 Buenos Aires