Job Overview
Job description
- Work arrangement:
- On-site
Role Summary
Our client is a leading consultancy firm in Data Analytics and Data Engineering services, we are looking for a talented Data Engineer to join our dynamic team. We work with top-level companies throughout Latin America, helping them transform their data into valuable information for strategic decision making.
Attention: This role requires advanced English!
- Required skills: Azure DataBricks
- Azure Data Factory
- Azure Data Lake
- Pyspark
- SQL
- DAX
- Tabular models
- Synapse
Responsibilities
- Ability to understand business and user requirements to
- Design data models that meet your needs.
- Collaborate with development teams, data analysts and other stakeholders to understand business requirements and provide effective data solutions.
- Research and adopt new technologies and industry practices to improve continually enhance the capabilities and efficiency of the Azure cloud data environment.
- Ability to identify and address technical issues and challenges related to the managing and processing data in Azure efficiently and creatively.
- Willingness to adapt to changes and new technologies in the cloud environment,
- and be willing to constantly learn and update to keep up with the latest trends
Role Responsibilities
- QL/ Databricks: Script development, automation and manipulation of data.
- ADL: Design and development of ETL (Extract, Transform, Load) processes for the transformation of data from different sources and its loading into information systems storage and analysis.
- Management of logs included in ETL developments to facilitate monitoring
- Methodology: Design and development of data models, including database schemas of data, table structures, relationships and hierarchies, with the purpose of facilitating the data analysis and consultation.
- Extensive knowledge in generation, maintenance and consistency on integrity referential in database structures.
- Understanding of the implementation of security measures, access policies and
- Data governance to ensure data protection and compliance
- stored in Azure
Requirements
- Troubleshooting and performance optimization to ensure efficiency of data solutions in Azure.
- Normalization and denormalization techniques to optimize data model performance and efficiency.
Location
Argentina, Belize, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Suriname, Trinidad and Tobago, Uruguay, Venezuela
About the Company
About Our Client
We are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Drive both external brand visibility and internal engagement, making a meaningful impact on the organization.
Work closely with leadership and passionate teams across the company.
Enjoy opportunities for professional growth and creative expression.
- Role:
- 0524SA-301LTM | Data Engineer
- Job Type:
- Full Time