Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred.
Advanced English is mandatory
1+ years of experience as Data Engineer
Cloud data storage is mandatory
Strong understanding of data modeling, ETL processes, and data warehousing concepts
Experience in SQL language, relational data modelling and sound knowledge of Database administration is mandatory
Proficiency in Python related to Data Engineering for developing data pipelines, ETL (Extract, Transform, Load) processes, and automation scripts.
Proficiency in Microsoft Excel
Experience within integrating data management into business and data analytics is mandatory
Experience working with cloud platform for deploying and managing scalable data infrastructure
Experience working with technologies such as DBT, airflow, snowflake, Databricks among others is a plus
Excellent Stakeholder Communication
Familiarity with working with numerous large data sets
Comfort in a fast-paced environment
Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information with attention to detail and accuracy
Excellent problem-solving skills
Strong interpersonal and communication skills for cross-functional teams
Proactive approach to continuous learning and skill development
Experience in leading or collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting..

Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on Cloud Platforms for data processing to support various data initiatives and analytics needs within the organization
Data Pipeline Implementation: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python, and SQL
Collaboration and Support: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects. Helping translating business realities into data bases solution.
Performance Optimization: Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness. Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
Build and optimize data warehouse solutions for efficient storage and retrieval of large volumes of structured and unstructured data.
Data Governance and Security: Implement data governance policies and security controls to ensure compliance and protect sensitive information across cloud platforms environment.

Development as a Subject Matter Expert in FMCG sales & marketing analytics domain, working directly with top FMCG brands across Latin America.
Work extensively with clients. A direct interaction with clients and with our team in India. These direct interactions will fasten your learning process and will enable you to master traits of strategy consulting, i.e. from understanding business objective to analyzing data in a methodical way culminating with a final output to be delivered to the client.
Our senior partners have a wide professional experience and expertise, having played executive roles in leading companies in Chile and various Industrial and FMCG Global companies across continents. Advanced Analytics and Big Data is not only about Data Science, but also Decision Science. You will get the best from both.