Hi,
Hope you are doing well. Below is the Job Description, kindly go through it and please let me know if you are interested.
Role:- Azure Hyperscale SQL & Databricks Engineer
Location:- Weehawken, NJ (Onsite)
Job Summary:
We are seeking a skilled and experienced Azure Hyperscale SQL & Databricks Engineer to design, build, and optimize scalable data solutions in Microsoft Azure. The ideal candidate will have hands-on expertise in Azure SQL Database Hyperscale , Azure Databricks , and related services, with a strong foundation in data architecture, ETL pipelines, and performance tuning.
Key Responsibilities:
Design and develop scalable, high-performance data solutions using Azure SQL Database Hyperscale and Azure Databricks .
Build, manage, and optimize ETL/ELT pipelines for structured and semi-structured data using Databricks (PySpark/Scala).
Implement data partitioning, indexing, and performance tuning for large datasets in Hyperscale SQL.
Collaborate with data scientists, analysts, and business stakeholders to ensure data availability, quality, and usability.
Integrate Azure data services such as Azure Data Lake Storage (ADLS Gen2), Azure Data Factory (ADF) , and Azure Synapse Analytics .
Monitor, troubleshoot, and optimize data workflows and jobs for reliability and efficiency.
Apply best practices in data governance, security, and compliance .
Required Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
8+ years of experience in data engineering , with 5+ years focused on Azure Databricks and Hyperscale SQL .
Proficiency in SQL performance tuning , indexing strategies, and query optimization in Azure SQL Hyperscale.
Hands-on experience with Azure Databricks (PySpark, notebooks, Delta Lake).
Deep understanding of big data processing , distributed computing , and data lake architectures .
Strong knowledge of data modeling , normalization, and denormalization techniques.
Familiarity with Azure Data Factory , Azure Data Lake , Azure Synapse , and Power BI integration.
Excellent communication skills and experience working in Agile environments.
Preferred Qualifications (Nice to Have):
Experience with CI/CD for data pipelines using GitHub Actions, Azure DevOps, or similar tools.
Azure certifications (e.g., Azure Data Engineer Associate , Azure Solutions Architect ).
Knowledge of MLflow , Delta Live Tables , or other advanced Databricks features.
Familiarity with data quality and governance frameworks like Apache Deequ or Great Expectations.
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