Design, build and maintain dashboards and reports using Microsoft Fabric (Power BI, Data Factory, Data Lakehouse) or equivalent open-source BI frameworks.

Develop ETL/ELT pipelines for ingesting and transforming data from multiple services.

Model data for real-time and historical analysis across logistics, payments and marketplace functions.

Implement data governance, lineage and quality checks to ensure reliability and compliance.

Leverage Lakehouse architecture (Fabric OneLake or open-source equivalents like Delta Lake / Apache Iceberg + Superset / Metabase).

Build self-service BI capabilities for operations and business users.

Collaborate with backend and data engineers to optimize data warehousing (PostgreSQL + OpenSearch/Elasticsearch) for BI workloads.

Required Skills

Strong BI expertise with Power BI + Microsoft Fabric or open-source stack (Apache Superset, Metabase, Redash).

Advanced SQL (PostgreSQL, MySQL) and DAX/MDX skills.

Experience with data lakes and warehouses (Azure Synapse, Fabric Lakehouse, or Apache Iceberg / Delta Lake + Spark).

Proficiency in ETL/ELT pipeline tools such as Fabric Data Factory, dbt, Apache Airflow, or Talend.

Familiarity with real-time data pipelines using Kafka, Debezium, or Flink.

Comfortable working with both cloud BI platforms (Azure Fabric, Power BI) and on-prem/opensource BI tools (Superset, Metabase).

Good to Have

Exposure to the Microsoft Fabric ecosystem end-to-end (Data Factory, Synapse, Power BI).

Experience in log and metric analytics using OpenSearch + Grafana.

Hands-on experience with Docker/Kubernetes for BI platform deployments.

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