Mid-level Data Engineer

Role Overview

• 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)