Middle+ Data Engineer

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Description

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database. ); - Advanced experience with PySpark; - Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks); - Familiar with AWS infrastructure (boto3, S3 buckets, etc); - Experience working with large volumes of data; - Understanding the principles of medallion architecture. Would be a plus: - Cassandra/Scylla - PostgreSQL - Pandas - Experience with Kafka and Redis What you'll do - Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL. - Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency. - Proactively identify bottlenecks and suggest technical improvements. We ensure your growth with: - Working in a fast-growing company; - Great networking opportunities with international clients, challenging tasks; - Personal and professional development opportunities; - Competitive salary fixed in USD; - Paid vacation and sick leaves; - Flexible work schedule; - Friendly working environment with minimal hierarchy; - Team building activities, corporate events.

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