Azure Data Lake Platform Engineer (Remote)

BCD Meetings & Events

Bogotá

Presencial

COP 167.400.000 - 256.680.000

Jornada completa

14 días+

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Descripción de la vacante

BCD Meetings & Events seeks an Azure Data Lake (ADLS) Data Platform Specialist to design and implement a scalable, secure data platform in a remote-capable role based in Bogota, Colombia. The role focuses on integrating SAP and other sources into a unified data lake and reporting layer to enable standardized global financial reporting and analytics.

You will build end-to-end data pipelines, establish medallion architecture, and work with ADLS Gen2, ADF, Synapse, Databricks, and Power BI to

Formación

Proven experience designing and implementing Azure data platforms.
Hands-on ADLS and ADF delivery.
ERP/finance system integration (SAP desirable).
Strong SQL and Power Query for large datasets.
Data modelling for financial reporting.
Python or Spark knowledge; Databricks preferred.

Responsabilidades

Design, develop, and maintain data ingestion pipelines, establishing standards for data ingestion, transformation, and storage, and integrating data from multiple management and financial systems (batch and streaming).
Design and implement a modern data platform using Azure (ADLS Gen2-based architecture).
Define data architecture patterns, including medallion (bronze/silver/gold) layers.
Build scalable ETL/ELT pipelines using Azure Data Factory.
Handle diverse data formats (structured, semi-structured).
Design and implement data lake architecture in Azure Data Lake Storage (ADLS Gen2).
Structure and manage data using bronze/silver/gold layers (medallion architecture).
Optimise data storage, partitioning, and performance.
Integrate ADLS with Azure Data Factory (ADF), Azure Synapse Analytics / Databricks, and Power BI and downstream analytics tools.
Implement data governance, security, and access controls (RBAC, IAM, ACLs).
Ensure data quality, lineage, and metadata management.
Support business teams with data modelling and availability.
Monitor performance and troubleshoot data platform issues.
Implement partitioning, indexing, and data lifecycle management.
Optimize cost vs performance in Azure.
Manage large-scale datasets efficiently.
Define and implement access control (RBAC, ACLs) and data security and compliance standards.
Ensure consistency of financial data across regions.
Support data lineage and auditability for finance.