Mid-level Data Engineer
Stone & Company
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLJavaNoSQLPythonSQL
About the role
- 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 the development and maintenance of data pipelines, taking on larger responsibilities and leading small subprojects.
- Process Documentation: Contribute significantly to data engineering process documentation, recording procedures and workflows and ensuring they remain up to date.
- Exploratory Data Analysis: Conduct initial data analyses to identify patterns, trends and business-relevant insights with increased 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, and mentor junior team members.
- Cross-functional Collaboration: Work effectively with other departments to ensure proper integration of data into solutions and systems, and provide domain expertise.
- Meeting Deadlines: Manage your tasks and ensure they are completed within established deadlines, proactively communicating any challenges or obstacles to team leadership.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related fields.
- Previous experience in data engineering or related areas.
- Expertise in SQL and experience with relational and NoSQL databases.
- Advanced proficiency in programming languages such as Python or Java.
- Solid experience with ETL processes and data integration tools.
- Knowledge of data warehousing and data lake architectures.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical skills.
- Ability to implement scalable data solutions.
Benefits
- 🩺 Health and Dental Insurance
- 🏥 Vitta Digital Hospital: we offer a multidisciplinary medical team, therapists and a healthcare team available 24/7 for quick and convenient care
- 🥗 Meal Voucher and/or Food Voucher
- 🕗 Flexible working hours
- ✏ Education Benefit - Internal platform with access to books, podcasts, trainings and video lessons aimed at self-development (Studa and StoneCo Library)
- 💪 Gympass
- 👶 Childcare Assistance
- 💰 Profit Sharing (PLR)
- 💚 Life Insurance
- 🚗 Transportation Voucher (for on-site positions only)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonJavaETL processesdata integration toolsdata warehousingdata lake architecturesrelational databasesNoSQL databasesdata quality monitoring
Soft skills
analytical skillscollaborationcommunicationleadershipproblem-solvingtime managementmentoringprocess improvementautonomydocumentation