We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable and reliable data pipelines and analytics solutions on Microsoft Azure. The ideal candidate will have strong experience with Azure Data Factory (ADF), Azure Synapse Analytics, and SQL, along with a solid background in data integration, transformation, and modern data warehouse architectures.
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)