Data Engineering Analyst at Inmetrics developing and optimizing data pipelines, ensuring data quality. Collaboration with business teams aligning data solutions with business objectives.
Responsibilities
Develop, optimize, and maintain data pipelines and ETL processes, ensuring data quality and consistency across systems.
Collaborate with business teams to understand requirements, map data sources, and serve as a bridge between technical and non-technical stakeholders.
Implement data engineering solutions using modern technologies and continuously propose process improvements.
Produce actionable insights from processed data that align with business objectives.
Provide technical and strategic consultancy to multidisciplinary teams, contributing to the success of the company’s data projects and initiatives.
Requirements
Strong SQL skills (complex queries, ER modeling, data consistency)
Proficiency in Python for data engineering
Experience with Python web frameworks (Flask, FastAPI, or similar)
Ability to map and integrate multiple data sources
Solid understanding of CRUD operations
Deep knowledge of the HTTP protocol
Experience with Apache NiFi and Airflow
Familiarity with Generative AI (GenAI) concepts
Experience with big data and distributed processing
Knowledge of cloud computing (AWS, Azure, or GCP)
Familiarity with data visualization tools
Experience with agile methodologies
Ability to produce technical and business documentation
Analytical and detail-oriented
Proactive problem-solver
Excellent communication and teamwork skills
Ability to provide technical and strategic guidance
Fast learner of new technologies
Passionate about data and innovation
Results-driven with business acumen
Ability to collaborate effectively on multidisciplinary projects
Benefits
Bradesco Health Plan (30% copayment)
Bradesco Dental Plan (no employee contribution)
Life insurance
Wellhub (Gympass)
Childcare allowance
Allowance for children with special needs
Payroll-deductible loan options
Private pension plan
Pet care program
SESC membership
Conexa telemedicine
Expense allowance
Meal / Food allowance
Multi-benefits card
Medical plan upgrade option
Extended maternity and paternity leave
Support program for pregnant employees
Newborn welcome kit and the book "Acontecia quando eu nascia"
Professional development: courses available through the internal university
100% remote or hybrid work, depending on project applicability.
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