Data Engineer

Description

Job Summary: Design, develop, and optimize data pipelines, process large volumes of information, and ensure data quality for decision-making. Key Highlights: 1. Data pipeline design and development (batch and streaming) 2. Experience with Power BI and Big Data 3. Collaboration with business teams for data-driven decision-making RESPONSIBILITIES Design and develop data pipelines (batch and streaming). Process and transform large volumes of data (Big Data). Build and optimize ETL/ELT processes. Develop and maintain dashboards and reports in Power BI. Integrate multiple data sources (APIs, databases, systems, etc.). Manage storage in Data Lake and/or Data Warehouse. Ensure data quality, integrity, and availability. Optimize database queries and performance. Collaborate with business teams for data-driven decision-making. REQUIREMENTS Minimum 3 years of experience in data-related roles. Experience with Power BI (dashboards, data modeling, DAX). Knowledge of Big Data (processing large volumes of data). Proficiency in Python and SQL (intermediate/advanced level). Experience with ETL/ELT processes. Knowledge of databases (MySQL, PostgreSQL or similar). Cloud platform experience (Azure, AWS, or GCP) is desirable. Proficiency in Git. JOB CONDITIONS Schedule: Monday to Saturday Work Mode: On-site Position Type: Full-time . -Requirements- Minimum Education: University degree 3 years of experience Keywords: data, data, engineer, engineers, female engineer, ing, engineer