Data Engineer responsible for creating data pipelines and platforms using GCP and AWS. Collaborating with ambitious teams on complex data engineering challenges in a hybrid environment.
Responsibilities
Work on data infrastructure, pipelines, platforms, and processing systems
Build and evolve data infrastructure that scales
Embed in a data engineering environment spanning multiple cloud platforms
Handle complex challenges with large-scale data pipelines, distributed processing, and real-time streaming
Collaborate with technical teams and stakeholders
Requirements
Hands-on experience with Google Cloud Platform (GCP) for data engineering workloads
Strong proficiency in Python
Practical experience with Big Data tooling, including Apache Spark, Apache Kafka, Flink, Elasticsearch, Hadoop, Hive
Solid knowledge of data modeling and database design principles
Experience with data integration and ETL/ELT pipelines
Strong SQL skills with experience across both relational and NoSQL databases
Familiarity with additional cloud platforms including AWS or Azure
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