Python Engineer (Data Engineering, SQL)

Description

The client is a global 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.

Responsibilities:

• Engineer solutions using Python e.g. functions such as Dependency Injection, List, Tuples, Decorators, Generators, Pandas, Lambda, Flask API, Poetry
• Perform ETL, data wrangling, data analysis and feature engineering using complex big data from a wide variety of sources
• Build data pipelines that support our machine learning / AI applications

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
  • Exp. 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)

Place of work: Remote (LatAm only).

Contract type: Full time (6-8 hours overlap with EST) - Contractor (12-month contract)

To apply, please follow this link: Python Engineer (Data Engineering, SQL)

Pago en USD

Benefits

Fecha Publicación: 27-03-2024