Data Engineer

• 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.

Qualifications:

• 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...