- Company Name
- Maestro Technologies, Inc.
- Job Title
- Data Engineeer
- Job Description
-
**Job Title:** Data Engineer
**Role Summary**
Design, build, and maintain scalable data solutions using Microsoft Azure, Microsoft Fabric, SQL, and Python to support data-driven decision-making.
**Expectations**
Develop cloud-based data pipelines, optimize workflows, and ensure data quality, governance, and security across organizational systems.
**Key Responsibilities**
- Design, develop, and maintain ETL pipelines using Azure Data Factory, Microsoft Fabric, and Azure Data Services.
- Implement data models, data lakes, and warehouses in the Azure ecosystem.
- Develop Python scripts for data ingestion, transformation, and workflow automation.
- Optimize SQL queries, stored procedures, and database performance for large datasets.
- Collaborate with data analysts, scientists, and stakeholders to deliver accurate, accessible data.
- Monitor and troubleshoot pipelines for reliability, performance, and scalability.
- Enforce governance, quality standards, and security practices for data assets.
- Stay current with emerging technologies in cloud computing and data engineering.
**Required Skills**
- Proficiency in Microsoft Azure (Data Factory, Synapse Analytics, Data Lake Storage, SQL Database).
- Expertise in Python for data engineering tasks (ingestion, transformation, automation).
- Advanced SQL development, performance tuning, and database optimization.
- Experience with data modeling, ETL design, and integration frameworks.
- Version control (Git) and CI/CD pipelines for data solutions.
- Data governance, security, and compliance frameworks (e.g., GDPR, ISO standards).
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
- 3+ years’ experience in Data Engineering or similar role.
- Preferred certifications: Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect Expert.