Data Engineer, Mid-level
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Job Description
Data Engineer implementing solutions for data engineering at Semantix, a leader in Big Data and Analytics. Involved in ETL processes and database construction for Big Data projects.
Responsibilities:
- Implement appropriate data engineering solutions according to project needs.
- Use programming and code maintenance to prepare data.
- Define and build relational databases with distributed architecture for Big Data processing.
- Extract, transform and load (ETL) data from one database to another.
- Perform user requirements analysis.
- Research, design and develop new software programs.
- Provide data that delivers value to business areas.
- Identify ways to improve data reliability, efficiency and quality.
- Share analytical knowledge across the team and the organization.
Requirements:
- ETL workflows and data modeling;
- Databricks;
- Azure Cloud;
- Python / PySpark and SQL;
- Building pipelines using API calls;
- Working with business stakeholders.
- NoSQL databases — Required:
- Databricks Medallion Architecture;
- Python;
- PySpark;
- Git.
- Nice to have: MongoDB.
Benefits:
- Market-competitive salary;
- Caju (flexible benefits card) with a monthly top-up of R$ 1,060;
- Bradesco Health Plan;
- Bradesco Dental Plan;
- Preventive medicine with Dr. Alper;
- Life insurance;
- Gympass;
- SESC benefits;
- Childcare assistance for parents;
- Profit sharing (PLR);
- Learning — a team focused on developing hard and soft skills;
- Partnerships with educational institutions for technical training, MBA, postgraduate programs, certifications, English and Spanish courses;
- Career development plan;
- Discounts on products from a partner portal.
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