Python Azure Data Engineer

Senior Data Engineer Wealth Management

Experience: 6–8 Years
Employment Type: Full-Time
Location: Chennai (Work from Office – 5 Days/Week)

Shift time : 1 to 10pm
Domain: Wealth Management / Financial Services

Job Summary

We are seeking a Senior Data Engineer with 6–8 years of experience in building enterprise-scale data platforms for Wealth Management solutions. The ideal candidate will have strong expertise in Python, Azure Data Services, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Data Factory, Azure Logic Apps, Azure Databricks, PySpark, SQL, PostgreSQL, MS SQL Server, Azure DevOps, Docker, and CI/CD. The role involves designing scalable cloud-native data platforms, data warehouses, ETL/ELT pipelines, and analytics solutions while ensuring security, governance, and high performance.

Key Responsibilities

• Design, develop and optimize scalable ETL/ELT pipelines using Python, PySpark and Azure Data Services.
• Build end-to-end cloud data solutions using Azure Synapse, ADLS Gen2, Azure Data Factory, Azure Logic Apps and Azure Databricks.
• Design enterprise Data Lakes, Data Warehouses and Data Marts.
• Develop dimensional models including Star Schema, Snowflake Schema, Fact and Dimension tables.
• Integrate structured, semi-structured and unstructured data from multiple enterprise sources.
• Develop advanced SQL/T-SQL and PL/SQL procedures, views and performance tuning.
• Implement CI/CD using Azure DevOps, Git and Docker.
• Ensure data governance, security, compliance and monitoring.
• Collaborate with Data Scientists, Data Analysts, BI Developers and business stakeholders.
• Support production, troubleshoot issues and mentor junior engineers.

Required Technical Skills

• Python, PySpark, Apache Spark, SQL, T-SQL, PL/SQL
• Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage (Gen2), Azure Databricks, Azure Logic Apps
• PostgreSQL, MS SQL Server, Azure SQL Database, Snowflake (preferred)
• Delta Lake, Apache Kafka (preferred)
• Azure DevOps, Git, Docker, CI/CD
• Power BI, Data Modeling, ETL/ELT, Data Warehousing

Wealth Management Experience

• Client Onboarding
• Portfolio Management
• Investment & Performance Reporting
• Trading & Market Data
• Compliance & Regulatory Reporting
• Account Management
• Financial Advisory Platforms

Qualifications

• Bachelor's/Master's in Computer Science, IT or related field.
• 6–8 years of Data Engineering experience.
• Strong Azure cloud experience.
• Excellent SQL optimization and data warehouse knowledge.
• Agile/Scrum experience.
• Azure DP-203 certification preferred.