Data Engineer

We are looking for a Data Engineer to build and maintain scalable platforms for data storage, processing, and orchestration. The ideal candidate implements performant pipelines and integration solutions while remaining technology-agnostic, aligning technical details with the 'big picture' to drive business success and ensuring high-quality data flow for all stakeholders.

- Design, build, and maintain scalable data platforms;

- Collect, process, and analyze large and complex data sets from various sources;

- Develop and implement data processing workflows using data processing framework technologies such as Spark, and Apache Beam;

- Collaborate with cross-functional teams to ensure data accuracy and integrity;

- Ensure data security and privacy through proper implementation of access controls and data encryption;

- Extraction of data from various sources, including databases, file systems, and APIs;

- Monitor system performance and optimize for high availability and scalability.

- Experience with cloud platforms and services for data engineering (GCP);

- Proficiency in programming languages like Python, Java, or Scala;

- Use of Big Data Tools as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.;

- Knowledge of data modeling and database design principles;

- Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend);

- Understanding of distributed systems and data processing architectures;

- Strong SQL skills and experience with relational and NoSQL databases;

- Familiarity with cloud platforms and services for data engineering (e.g., AWS S3,Azure Data Factory);

- Experience with version control tools such as Git.

- Direct employment contract with the client

- 100% remote work model