The Data Engineer will design, build, and maintain modern data solutions that support analytics, AI, reporting, and business transformation. The role will focus on developing reliable and scalable data pipelines, integrating client source systems, maintaining data quality, and improving data platform
Key Responsibilities: Architect, write, and optimize automated Python ETL/ELT scripts and SQL queries for multi-source data extraction. Design clean data models (Star/Snowflake Schema) that power high-performance Power BI reports. Eliminate manual reporting tasks by building end-to-end automated pipelines and
Qualifications: 1. Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines 2. Develops data transformation, cleansing, and preparation processes. 3. Perform job optimization/automation via code enhancement, configuration, or implementation of new tools/technology 4. Perform
JOB DESCRIPTION: Analyze source and target data structures, schemas, and business rules Design and document data migration strategies, mappings, and transformation logic Extract, transform, and load (ETL) data from legacy systems to new platforms Perform data cleansing, de duplication, validation,