Middle+ Data Engineer

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.

You'll be a great fit if you have:

– 3+ years of hands on in data engineering;
– 3+ years of commercial experience with Python;
– Advanced experience with SQL DBs (optimisations, monitoring, etc.);
– 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.