Expert Snowflake Data Engineer

~170 - 190 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·WarszawaInne·B2B

#464640·Dodano dziś·0

Źródło: justjoin.it

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Tech Stack / Keywords

Snowflake SQLETL/ELT processesData WarehousingBanking data analysisBusiness AnalysisStatistical analysisdata governanceEBAECB

Podsumowanie oferty

The role focuses on building and maintaining ETL/ELT pipelines and data warehousing solutions for banking data, including stress testing, risk management and regulatory reporting. You will translate financial and regulatory requirements into data solutions using Snowflake and SQL.

Wymagania

Strong hands-on experience with Snowflake, SQL and large-scale data warehousing.
Extensive experience developing and maintaining ETL/ELT processes in complex enterprise environments.
Deep understanding of banking data, including Balance Sheet Management, Stress Testing, Treasury, Liquidity, Finance, Regulatory Reporting, Risk Management and Capital Adequacy Frameworks.
Proven experience in complex data analysis, validation, reconciliation and aggregation across multiple source systems.
Strong business analysis skills covering requirements gathering, process modeling, stakeholder management and translation of business needs into technical solutions.
Practical experience with statistical analysis and data preparation for analytical models.
Understanding of data governance, data quality frameworks and regulatory requirements affecting banking data landscapes.
Ability to communicate effectively with technical and business stakeholders.
Very good command of English, both spoken and written.

Nice to have:

Experience with EBA, ECB, Basel, ICAAP, ILAAP or IRRBB regulatory and stress testing frameworks.
Knowledge of Data Vault, dimensional modeling and cloud-based data platforms.
Experience working in Agile/SAFe environments.
Familiarity with Power BI, Tableau or similar reporting and data visualization tools.

Obowiązki

Design, develop and maintain enterprise-grade ETL/ELT pipelines using Snowflake and modern data engineering technologies.
Analyze banking requirements related to Balance Sheet Stress Testing, scenario analysis, capital adequacy, liquidity and risk management.
Translate complex regulatory and financial requirements into scalable data solutions.
Collaborate with business analysts, Finance, Treasury, Risk and regulatory stakeholders to implement business logic.
Build and optimize data warehousing solutions for large-scale financial data aggregation, transformation and reporting.
Develop data models supporting stress testing simulations, statistical analysis and management reporting.
Ensure data quality, reconciliation, lineage, governance and regulatory compliance.
Prepare and provision data for analytical, reporting and regulatory consumption layers.
Perform detailed data investigations, validation and reconciliation across multiple source systems.
Drive performance optimization, automation and continuous improvement of data platforms and processing frameworks.

Benefity

Private medical care.
Co-financing for the sports card.
Constant support of a dedicated consultant.
Employee referral program.

Opieka zdrowotna

Karta sportowa

DCG

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