Job Description & How to Apply Below
We are seeking a skilled and detail-oriented Azure Synapse Developer with 4+ years of experience in data engineering, data warehousing, and building scalable analytics solutions. The ideal candidate will be responsible for developing and maintaining end-to-end data pipelines, optimizing performance, and supporting advanced analytics and BI solutions using Azure Synapse Analytics.
Key Responsibilities:
Design, develop, and manage large-scale data pipelines using Azure Synapse Analytics (formerly SQL DW).
Integrate data from various sources (Azure Data Lake, SQL Server, Blob Storage, APIs) into Synapse using Azure Data Factory (ADF).
Write and optimize complex T-SQL queries, stored procedures, and scripts for data transformations.
Collaborate with data scientists, BI developers, and business stakeholders to support reporting and analytics needs.
Implement data partitioning, indexing, and performance tuning strategies for Synapse.
Monitor and troubleshoot Synapse pipeline and query performance issues.
Work with CI/CD pipelines and implement best practices for code deployment and versioning.
Ensure data quality, compliance, and security in accordance with company and regulatory standards.
Required Skills:
4+ years of hands-on experience in Azure Data Platform, especially Azure Synapse Analytics.
Strong experience in T-SQL, SQL Server, and data warehousing concepts.
Experience in Azure Data Factory, Azure Data Lake Gen2, Blob Storage, and Power BI.
Knowledge of ETL/ELT processes, data modeling (star/snowflake), and dimensional modeling.
Experience in performance tuning, query optimization, and data validation.
Familiarity with Dev Ops, Git, and CI/CD tools for data pipelines.
Understanding of security and compliance in cloud data environments.
Preferred Qualifications:
Microsoft Certification in Azure (e.g., DP-203: Data Engineering on Microsoft Azure).
Experience with Spark pools and serverless SQL pools in Synapse.
Knowledge of Python/Scala for data manipulation (optional but preferred).
Exposure to Databricks, Azure Purview, or Azure Machine Learning is a plus.
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