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Risk & Compliance technology design and deploy cutting edge technology to defend the bank and its customers from Sanctions Risk, Financial Crime Risk, Identity Threat, Unauthorised Trading and Market Abuse & Regulatory Sanctions, as well as supporting Enterprise Risk Management. We provide the systems that enable our global businesses to grow through data-driven, pro-active risk management. We are seeking Data Engineer who will be understanding data structures, end to end data flow and working on delivering data pipelines within Risk & Compliance area.
Job Responsibility:
Work closely with Business & IT partners to understand data requirements
Together with Architecture & Engineering Team propose technical solution
Participate in data pipeline delivery, testing & validation up to production
Support and maintain solution after Go Live
Requirements:
5+ years of experience in developing data propagation pipeline with Python spark, conversion of SQLs into spark scripts
Good understanding on SQL, ETL concepts, writing complex queries using multiple joins, unions etc.
Be able to breakdown complex SQL logic and translate it for implementation in Pyspark
Good development experience in PySpark
Strong analytical skills and proficient in creating efficient data pipelines is key
Understanding of configuration management, orchestration, containerization, and deployment automation
Deployment automation of cloud projects (GCP preferred)
Good experience in GCP Data Proc, Big query, GKE will be an advantage
Nice to have:
Good experience in GCP Data Proc, Big query, GKE
What we offer:
Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
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