Azure Data Engineer
Infinite Computer Solutions (ICS)
Berkeley Heights, NJ, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Azure
Continuous Integration
Information Engineering
Data Governance
Extract Transform Load (ETL)
Apache Hive
SQL Azure
Performance Tuning
Scrum Methodology
Power BI
Cloud Services
Azure Data Lake
+8 more
Software Deployment
Azure Data Factory
Git
Data Lakes
Pyspark
Star Schema
Data Pipelines
Databricks
Job description
We are hiring a Senior Data Engineer with 8+ years of experience in Data Engineering and mandatory Banking/Financial Services (BFSI) domain experience. The ideal candidate will have strong expertise in building cloud-native data platforms on Microsoft Azure using Azure Databricks, Azure Data Factory, and Azure Data Lake., * Design, develop, and maintain scalable Azure data pipelines using ADF and Databricks.
- Build and optimize PySpark/Spark SQL transformations for enterprise data processing.
- Develop Delta Lake/Lakehouse solutions and curate analytical datasets.
- Implement data quality, reconciliation, and performance optimization.
- Collaborate with business, risk, finance, and data stakeholders to deliver scalable data solutions.
- Support production deployments, troubleshooting, and CI/CD automation.
Requirements
- 8+ years of experience in Data Engineering.
- Mandatory Banking/Financial Services experience (ALM, Risk, Treasury, Regulatory, Finance, or Capital Markets preferred).
- Strong hands-on experience with Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), Azure SQL, and ADLS Gen2.
- Experience designing and developing ETL/ELT pipelines and Lakehouse (Bronze/Silver/Gold) architecture.
- Strong SQL/T-SQL development and data modeling (Star/Snowflake Schema).
- Experience with Delta Lake, incremental loads, CDC, and data quality frameworks.
- Knowledge of Power BI and semantic models is a plus.
- Experience with Azure DevOps, Git, and CI/CD.
- Excellent problem-solving, communication, and Agile/Scrum experience.
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