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.
Extract 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).
Experience with Big Data tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
Experience with relational and NoSQL databases.
Experience with data integration and ETL tools (e.g., Apache Kafka, Talend).
Experience with version control tools such as Git.
Stack Tech: Python, Java, or Scala. Spark, Apache Beam. Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid. SQL. Relational and NoSQL databases. Cloud platforms (GCP, AWS S3, Azure Data Factory). Git.
Knowledge of data modeling and database design principles.
Understanding of distributed systems and data processing architectures.

Our company does not sponsor work visas or work permits.
All applicants must have the legal right to work in the country where the position is based.
Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.

Data Engineer – GCP

Key skills