Data Engineer

Data Engineer (Praca zdalna)

HSBC Service Delivery

Kraków
PERMANENT, B2B
PERMANENT
💼 B2B
📊 Data Engineer
Risk & Compliance
🐍 Python
PySpark
SQL
ETL
GCP
📊 Data Proc
BigQuery
GKE

Podsumowanie

Data Engineer (Risk & Compliance) – projektowanie i wdrażanie przepływów danych (Python, PySpark, SQL, ETL) w środowisku GCP, współpraca z biznesem i zespołami IT, wsparcie po uruchomieniu. Wymagane 5+ lat doświadczenia w inżynierii danych, PySpark, GCP. Benefity: premia roczna, karta Multisport, prywatna opieka medyczna, ubezpieczenie na życie, zwrot kosztów home‑office, elastyczne godziny, parking.

Słowa kluczowe

Data EngineerRisk & CompliancePythonPySparkSQLETLGCPData ProcBigQueryGKE

Benefity

  • premia roczna
  • dodatkowe premie za wyróżnienia
  • karta Multisport
  • prywatna opieka medyczna
  • ubezpieczenie na życie
  • jednorazowy zwrot kosztów wyposażenia home office (do 800 PLN)
  • imprezy firmowe
  • inicjatywy CSR
  • zniżki żłobkowe
  • wsparcie szkoleń i edukacji
  • fundusz socjalny
  • elastyczne godziny pracy
  • darmowy parking

Opis stanowiska

ABOUT THE PROJECTRisk & 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. The Data Engineer works closely with Business Stakeholders to understand their requirements & propose solution for their problems. In this role you will collaborate with engineering teams from Poland, India & UK, supporting project delivery activities but also BAU post system Go Live.YOUR RESPONSIBILITIES 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. SKILLS & EXPERIENCE WE REQUIRE 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 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). Corporate parties & events CSR initiatives Nursery discounts Financial support with trainings and education Social fund Flexible working hours  Free parking

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Wyświetlenia: 29
Opublikowana2 miesiące temu
Wygasaza 29 dni
Rodzaj umowyPERMANENT, B2B
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