Senior Data Engineer

Alpharetta, GA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Up to $130,000/yr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Data Engineer
  • Apache Spark
  • BFSI
  • Banking
  • Capital Market
  • Data Engineering
  • Continuous Integration
  • Continuous Delivery
  • Data Processing
  • Data Modeling
  • Extract
  • Transform
  • Load
  • ELT
  • DevOps
  • Databricks
  • Data Quality
  • Financial Services
  • Microsoft Azure
  • Microsoft Power BI
  • PySpark
  • SQL
  • Data Lake
  • ADF
  • SQL Azure
  • Transact-SQL
  • Snow Flake Schema
  • Finance
  • Git
  • Application Lifecycle Management

Summary

Senior Data Engineer (Azure)
Location: Alpharetta, GA / Berkeley Heights, NJ / Remote
Employment Type: Full-Time / W2
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.
Responsibilities
  • 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.
Preferred Certifications: Microsoft Azure, Azure Developer, Power BI, or Azure DevOps certifications.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10199915
  • Position Id: 9043716
  • Posted 4 hours ago
Contact the job poster
Shamim Ahmed

Shamim Ahmed

Sr Technical Recruiter @ Infinite Computer Solutions (ICS)
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