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about 2 months ago
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Requirements and responsibilities
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.ResponsibilitiesParticipate 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.RequirementsBachelor’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.Hands-on experience with batch and streaming data processing.Intermediate-Advanced English proficiency.Technical Skills:Programming languages: Java, Scala, Python, and SQL.Experience with data processing frameworks (Spark, Flink, etc.).Knowledge of SQL and NoSQL databases (PostgreSQL, Cassandra, MongoDB, etc.).Experience with orchestration and ETL tools (Airflow, Airbyte, Stitch, etc.).Experience handling large-scale data transformations across multiple formats.Design and architecture of Data Lakes, Data Warehouses, and Lakehouse solutions.Data modeling (star schema, snowflake schema, OBT).Development and consumption of REST APIs.Agile methodologies and version control (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.
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