Data Collection: Collect data from various internal and external sources, following established procedures and proposing process improvements when necessary.
Data Preparation: Perform data cleaning, transformation, and integration tasks, ensuring data quality and consistency with minimal supervision.
Project Support: Collaborate with team members on development and maintenance of data pipelines, taking on larger responsibilities and leading small subprojects.
Process Documentation: Contribute significantly to documentation of data engineering processes, recording procedures and workflows and ensuring they stay up to date.
Exploratory Data Analysis: Conduct initial data analyses to identify patterns, trends, and business-relevant insights with greater autonomy.
Query Support: Execute more complex SQL queries and extract information from relational databases, providing technical support to the team.
Quality Monitoring: Proactively monitor data quality, identify and resolve issues or inconsistencies, and suggest improvements to quality control practices.
Continuous Learning: Participate in and contribute to training and development programs, as well as mentor junior team members.
Cross-functional Collaboration: Work effectively with other departments to ensure proper integration of data into solutions and systems, contributing specialized knowledge.
Meeting Deadlines: Manage your tasks and ensure they are completed within established deadlines, proactively communicating any challenges or obstacles to team leadership.
Requirements
Experience in data engineering (data pipelines, processing, data modeling);
Proficiency in SQL for data analysis and manipulation;
Proficiency in Python for developing scripts and data pipelines;
Familiarity with cloud data environments (AWS);
Interest in understanding how data platforms are used and how to optimize their usage;
Basic knowledge of Data Lake, Data Warehouse, or Lakehouse concepts;
Ability to analyze data to identify patterns, problems, or opportunities for improvement;
Good communication skills and ability to work with multidisciplinary teams;
Tech Stack
AWS
Cloud
Python
SQL
Benefits
🩺 Health and Dental Insurance
🏥 Vitta Digital Hospital: we have a multidisciplinary medical team, therapists and a healthcare team available 24/7 in a fast and convenient way
🥗 Meal Allowance and/or Food Allowance
💻 Remote Allowance + Initial Setup (exclusive for remote positions)
🕗 Flexible working hours
✏ Education Benefit
Internal platform with access to a variety of books, podcasts, training and video lessons aimed at self-development (Studa and StoneCo Library)
💪 Gympass
👶 Childcare Assistance
💰 Profit Sharing (PLR)
💚 Life Insurance
🚗 Transportation Allowance (exclusive for on-site positions)
Mid-level Data Engineer at Stone & Company | JobVerse