We are looking for a highly skilled Data Engineer / Analytics Engineer to join our growing data team.

The ideal candidate will play a key role in designing, developing, and optimizing modern data pipelines and lakehouse architectures that enable analytics, insights, and intelligent decision-making across the organization.

Core Responsibilities:

• Design and implement end-to-end ETL pipelines and optimize data throughput.

• Develop and maintain data lakehouse and semantic modeling layers (star schemas, cube layers).

• Ensure reliable, efficient, and scalable data ingestion and transformation.

• Build analytics-ready datasets that empower business intelligence and reporting.

Core Competencies:

• Data Engineering (ETL architecture, pipeline optimization)

• Data Lakehouse Design & Semantic Modeling

• SQL & Data Analysis

• Operational Data Engineering (ingestion and throughput efficiency)

Must-Have Technical Expertise:

• Apache Spark — data transformation and performance tuning

• Apache Trino — semantic-layer querying and data federation

• Apache Kafka — real-time data ingestion and stream processing

• dbt — modular, version-controlled data models

• Apache Airflow — orchestration and DAG dependencies

• Power BI / Tableau — semantic-driven dashboards

• Dell Data Lakehouse — semantic and data-model management

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