Jit Team

Expert Snowflake Data Engineer

1200 - 1500 PLN/ dzień./ dzień.B2BB2B (netto)

SeniorZdalnie·GdańskFull-time·B2B

#463552·Dodano 14 dni temu·2

Źródło: Jit Team

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Tech Stack / Keywords

Snowflake SQLETL/ELTData VaultPower BITableauAgileSAFeEBAECB

Podsumowanie oferty

Work on a banking risk management project involving balance sheet stress testing and regulatory reporting. Design and maintain ETL/ELT pipelines and data models using Snowflake and SQL, combining data engineering with business analysis.

Wymagania

Strong hands-on experience with Snowflake, SQL, and enterprise data warehousing.
Extensive experience in ETL/ELT development and data transformation.
Solid understanding of banking processes, particularly Balance Sheet Management, Stress Testing, Risk Management, Treasury, Liquidity, and Regulatory Reporting.
Strong business analysis skills, including requirements gathering, process analysis, and stakeholder management.
Experience with complex data analysis, validation, reconciliation, and aggregation across multiple source systems.
Knowledge of financial data modeling and data preparation for analytical models.
Understanding of data quality, governance, data lineage, and regulatory compliance.
Ability to translate complex business and regulatory requirements into scalable technical solutions.
Excellent communication skills and the ability to collaborate with both business and technical teams.

Nice to have:

Knowledge of regulatory frameworks such as EBA, ECB, Basel, ICAAP, ILAAP, or IRRBB.
Experience with Data Vault, dimensional modeling, and cloud-based data platforms.
Familiarity with Agile/SAFe methodologies and reporting tools such as Power BI or Tableau.

Obowiązki

Design, develop, and maintain ETL/ELT pipelines using Snowflake and SQL.
Analyze banking business requirements related to balance sheet stress testing, risk management, and regulatory reporting.
Collaborate with business stakeholders, finance, treasury, and risk teams to translate business needs into technical solutions.
Build and optimize data models supporting financial analysis, stress testing, and management reporting.
Perform data validation, reconciliation, aggregation, and quality checks across multiple source systems.
Ensure data governance, lineage, and compliance with banking regulatory requirements.
Investigate data discrepancies, challenge business assumptions, and drive improvements in data processing.
Support end-to-end delivery, from requirements gathering and analysis to implementation and production deployment.

Benefity

Flexible work organization.
Additional training financed by Jit.
Regular integration meetings.

Dofinansowanie szkoleń

Spotkania integracyjne

Jit Team

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