Job Description

Core Competencies:

Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
Strong understanding of relational databases, ETL processes, and data modeling.
Expertise in system design, architecture, and implementing robust data pipelines.
Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
Effective communicator with the ability to collaborate with business analysts, users, and global teams.

Key Responsibilities:

Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
Develop and optimize data models and schemas for efficient data integration and analysis.
Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
Implement data validation procedures to maintain high data quality standards.
Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
Provide ongoing support, troubleshooting, and maintenance in production environments.
Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Senior Data Engineer(No Third Party Vendor Pls)

Quick Overview