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Lead ETL Engineer & Data Modeller

Dicetek LLC

جديد
Senior 🇬🇧 English
Snowflake Informatica SQL ETL/ELT architecture Data integration patterns Data modelling Relational databases Data warehouses AWS Azure Data lineage Metadata Data governance Data security Access controls Encryption Regulatory compliance CI/CD DevOps Git Automated ETL deployment

وصف الوظيفة

About the role

Dicetek LLC is looking for an experienced Lead ETL Engineer & Data Modeller to drive data integration, ETL, and data‑modelling initiatives for a banking client in the UAE. The role focuses on building scalable pipelines, audit and reconciliation frameworks, and data structures that support transaction processing, monitoring, and regulatory reporting.

Key responsibilities

  • Design and develop large‑scale ETL/ELT pipelines using Informatica and Snowflake.
  • Create data structures for message tracking, audit logs, error queues and status history.
  • Implement robust audit, reconciliation, exception‑handling and data‑quality frameworks.
  • Optimize Snowflake workloads for performance, scalability, reliability and cost efficiency.
  • Collaborate with solution architects, data architects, application teams and business stakeholders to define integration requirements.
  • Establish standards and best practices for ETL development, data modelling, testing, deployment and documentation.
  • Lead technical design reviews and mentor ETL developers and data engineers.
  • Ensure compliance with data governance, security, privacy and banking regulatory requirements.

Required profile

  • 8+ years of experience in ETL development, data engineering and data modelling, preferably in banking or financial services.
  • Proven ability to design audit trails, reconciliation frameworks and data‑quality controls for high‑volume, mission‑critical environments.
  • Strong analytical, problem‑solving and stakeholder‑management skills.
  • Experience leading technical teams and coordinating across multiple technology and business groups.

Required skills

  • Snowflake
  • Informatica
  • SQL
  • ETL/ELT architecture and data integration patterns
  • Data modelling and relational databases
  • Data warehouses and cloud‑based data platforms (AWS, Azure)
  • Data lineage, metadata and data governance
  • Master/reference data management
  • Data security, access controls, encryption and regulatory compliance
  • CI/CD, DevOps, Git and automated ETL deployment

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