Data Engineer

Description

Job Summary: Lead the design, implementation, and optimization of Gilat Peru's data architecture, including the Data Lakehouse and corporate data model governance for decision-making. Key Highlights: 1. Leadership in data architecture and Data Lakehouse 2. Transformation of disparate data into strategic assets 3. Collaboration with advanced analytics and ML teams Lead the design, implementation, and optimization of Gilat Peru's data architecture, including the Data Lakehouse, normalization and governance of the corporate data model, and ingestion and transformation pipelines from enterprise data sources (SAP, SIG, Excel, and operational systems), converting disparate data into strategic assets that enable advanced analytics and data-driven decision-making. **Requirements:** Minimum 4 years of experience in data engineering, data architecture, or equivalent roles, with proven participation in production Data Warehouse, Data Lake, or Data Lakehouse implementation projects Experience with Azure data platform (Azure Data Factory, Synapse Analytics, Delta Lake / Databricks) – at least 2 years. Experience in data modeling (dimensional, Data Vault, or Lakehouse medallion architecture) and environments with multiple heterogeneous data sources (ERP, operational systems, flat files). Experience leading or technically guiding a data team is a valued differentiator \#LI\-ONSITE \#PER **Brand:** Gilat Satellite Networks **Who we are looking for:** Bachelor's or graduate degree in Systems Engineering, Computer Engineering, Statistics, Mathematics, or related fields. (Professional registration preferred) Microsoft Azure certification (DP\-203: Data Engineering on Azure, DP\-900, AZ\-900) – required or in progress. Databricks certification (Databricks Certified Data Engineer) – preferred Specialization, diploma, or courses in Data Engineering, data architecture, dimensional modeling, or cloud data platforms **What you will do:** Design and lead the implementation of the company's Data Lakehouse architecture, defining Bronze\-Silver\-Gold layers, ingestion, transformation, storage, and access standards, and providing technical guidance to the team during project execution. Design and implement Gilat Peru's corporate data model: assess current data sources (SAP, SIG, legacy systems, Excel), identify entities, relationships, and business rules, normalize the model, define the Data Warehouse / Data Lakehouse schema, and document the data dictionary and lineage for each entity. Design, develop, and maintain data ingestion and transformation pipelines (ETL/ELT) from all Gilat Peru data sources into the Data Lakehouse, ensuring data quality, frequency, idempotency, and monitoring of data flows. Establish and operate Gilat Peru's data governance framework: define data quality policies, naming standards, data classification, layer-based access control, data lineage, and data catalog, ensuring Lakehouse data is trustworthy, traceable, and secure. Optimize query and database process performance, including index design, partitioning, compression strategies, Spark and SQL query tuning, and definition of materialization strategies (views, aggregated tables, cache) to enable high-performance analytics over large data volumes. Collaborate with the Advanced Analytics team to enable analytical models, Power BI dashboards, and Machine Learning models by providing curated data layers (Gold layer) and required semantic schemas, and supporting the definition of KPIs and business metrics relevant to Gilat Peru. **Area of Interest:** IT