**Key Responsibilities**:
- Design and implement end-to-end data pipelines using **Azure Data Factory (ADF)** for ingesting, transforming, and orchestrating data from various sources.
- Develop and optimize complex queries and stored procedures in **SQL** and **T-SQL**.
- Build scalable data solutions in **Azure Synapse Analytics**, including data modeling, partitioning, and performance tuning.
- Collaborate with data architects, BI developers, and business stakeholders to understand requirements and deliver high-quality solutions.
- Implement and support **data lake and data warehouse** architectures on **Azure** using services like **ADLS Gen2, Synapse.**:
- Ensure data quality, security, and governance through best practices and tools.
- Monitor, debug, and optimize ETL pipelines and workflows for performance and reliability.
- Automate data loading, transformation, and scheduling processes.
- Contribute to CI/CD pipelines and DevOps practices for data engineering.
**Required Skills and Qualifications**:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering with at least 2-3 years on **Microsoft Azure**.




- Hands-on experience with **Azure Data Factory**, **Azure Synapse Analytics**, and **Azure SQL Database**.
- Strong proficiency in **SQL**, **T-SQL**, and performance tuning.
- Familiarity with **data lake storage (ADLS)**, **data modeling**, and **data warehousing** concepts.
- Experience integrating data from various sources (e.g., REST APIs, databases, flat files).
- Knowledge of **CI/CD**, version control (e.g., Git), and agile development practices.
- Understanding of **data security, privacy, and governance** standards.
**Preferred Skills**:
- Experience with **Power BI**, **Azure Databricks**, or **Python** for data transformation.
**Job Types**: Full-time, Permanent
Pay: $1,400,000.00 - $1,600,000.00 per year
**Education**:
- Bachelor's (required)
**Experience**:
- DATA ENGINEER: 6 years (required)
- Azure Data Factory (ADF) : 3 years (required)
- Azure Synapse Analytics: 3 years (required)
- data lake and data warehouse : 3 years (preferred)
- CI/CD pipelines : 2 years (preferred)
- DevOps: 2 years (preferred)
- MICROSOFT AZURE: 3 years (required)
- Azure SQL Database: 3 years (required)

📌 Azure Data Engineer -remote (Ciudad de México)
🏢 EPSILON SOLUTIONS
📍 Ciudad de México