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Middle+ Data Engineer at Dataforest | Jobyssey

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Middle+ Data Engineer

Middle+ Data Engineer

Dataforest · 2 months ago

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Work mode: Remote
Seniority: Middle
Category: Data engineering
Experience: 3+ years
Visa sponsorship: No

aws cassandra cybersecurity data-engineering databricks etl kafka networking pandas postgresql

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Designs and maintains scalable data pipelines for a cybersecurity platform using Python, PySpark, and cloud infrastructure to process large datasets in real time.

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.