Azure Data Engineer

Infinite Computer Solutions

Alpharetta (GA)

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Infinite Computer Solutions in Alpharetta, GA / Berkeley Heights, NJ is seeking a Senior Data Engineer to lead cloud-native data platforms on Microsoft Azure, with 8+ years of Data Engineering and mandatory BFSI domain experience. You will design and implement scalable pipelines using ADF, Databricks, Delta Lake, and Lakehouse architectures, building analytics datasets for risk and finance functions.

Strong SQL/T‑SQL, data modeling, and data quality skills are required.

Qualifications

  • 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.

Skills

8+ years of experience
Banking/Financial Services (BFSI)
Azure Databricks
PySpark
Spark SQL
Azure Data Factory
Azure SQL
ADLS Gen2
Delta Lake
ETL/ELT pipelines
Lakehouse
data modeling
SQL/T-SQL
CDC
data quality frameworks
Power BI
Azure DevOps
Git
CI/CD
Agile/Scrum
communication

Tools

Azure Databricks
PySpark
Spark SQL
Azure Data Factory
Azure SQL
ADLS Gen2
Delta Lake
Power BI
Azure DevOps
Git
CI/CD

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
  • 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.Domain: Banking/Financial

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