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Posted about 3 years ago
Requirements and responsibilities
🎯 Role description:
You will be responsible for designing, improving, consolidating, standardizing, and implementing quality processes that are oriented towards the company's data.
Analyzing raw data, maintaining datasets, and enhancing data quality and efficiency to assist in the decision-making processes of the organization.
🌐 Requirements:
🔹 Bachelor's degree in computer engineering, systems, telecommunications, networks, or a related field.
🔹 Strong experience in data engineering and database administration with SQL and NoSQL environments (SQL Server and MongoDB).
🔹 Proficient in ETL creation, architecture, and data modeling.
🔹 Familiarity with tools such as SQL, Python, Power BI, Microsoft Office Suite, and Git.
🔹 Excellent English skills (B2 or higher).
🔹 Understanding of data mart, data warehouse, and data lake creation, data documentation, and implementation of data governance strategy.
🌐 Responsibilities:
🔹 Assist the analytics team in proposing and implementing data-related design improvements, standardization, and quality processes.
🔹 Develop and implement methods for enhancing data reliability and quality.
🔹 Build and maintain data repositories that support the organization's decision-making processes.
🔹 Create ETLs, data modeling, and architecture to improve data efficiency and quality.
🌐 Ideal:
🔹 Experience with AI solutions deployment.
🔹 Knowledge of Docker and Salesforce.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)