Data Engineer

We're looking for Data Engineers!
Responsibilities:
Design, develop, and maintain enterprise Data Warehouse solutions.
Build and manage dimensional data models including Fact and Dimension tables.
Implement Star Schema designs.
Define and maintain enterprise data architecture standards.
Design and build ETL/ELT pipelines for structured and unstructured data sources.
Develop scalable data ingestion, transformation, and integration frameworks.
Ensure data quality, integrity, reconciliation, and validation.
Implement automated data processing and orchestration workflows.
Support batch and near real-time data processing requirements.
Develop and optimize complex SQL queries, stored procedures, functions, and views.
Perform database tuning, query optimization, and performance monitoring.
Ensure efficient storage utilization and processing performance across data platforms.
Develop and support cloud-based data ecosystems.
Build and maintain solutions using: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage Gen2, Databricks
Support migration and modernization of legacy data platforms.
Implement data governance, metadata management, lineage, and data quality standards.
Ensure compliance with organizational security policies and regulatory requirements.
Support audit readiness and data protection initiatives.
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

Work arrangement
Hybrid