We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering.
Responsibilities
- Participate in cross-functional meetings to define project objectives and scope.
- Analyze and prioritize business requirements related to data.
- Design and develop data extraction, transformation, and loading pipelines (ETL/ELT).
- Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.).
- Write clean, efficient, and scalable code, adapting to new technologies as needed.
- Implement data quality methodologies throughout ingestion and transformation processes.
- Optimize services, queries, and processes to reduce operational costs and improve performance.
- Validate the functionality, integrity, and security of data engineering processes.
Requirements
Bachelor’s degree in Computer Systems Engineering, Computer Science, or related field.
Specialization in Data Engineering (preferred).
5 to 8 years of experience in similar roles.
Intermediate-Advanced English proficiency.
Technical Skills:
- Programming languages: Java, Scala, Python, and SQL.
- Experience with data processing frameworks (Spark, Flink, etc.).
- Experience with SQL and NoSQL databases (PostgreSQL, Cassandra, MongoDB, etc.).
- Experience with orchestration and ETL tools (Airflow, Airbyte, Stitch, etc.).
- Experience implementing data quality methodologies throughout ingestion and transformation processes.
- Design and architecture of Data Lakes, Data Warehouses, and Lakehouse solutions.
- Data modeling (star schema, snowflake schema, OBT).
- Development and consumption of REST APIs.
- Experience with Git.
Nice to Have:
- Experience with web scraping projects.
- Knowledge of additional languages such as Go or JavaScript.
- Experience with streaming and messaging systems (Kafka, RabbitMQ).
- Background in data science projects.
Benefits
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