Job Description
Senior Data Engineer (Azure)Location: Alpharetta, GA / Berkeley Heights, NJ
(In Office Position) Employment Type: Full-Time / W2 - Infinite Computer Solutions 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.Required Skills
(In Office Position) Employment Type: Full-Time / W2 - Infinite Computer Solutions 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.Required Skills
- 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.
- 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.
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