Description

You will own the design and development of data solutions, translating business requirements into technical specifications.

This role is hybrid.

Responsibilities

• Develop and maintain data models and schemas for data integration.
• Implement data quality and validation checks across data pipelines.
• Execute and support Unit, System, and User Acceptance Testing.
• Provide production support and maintain the application platform.
• Apply Agile methodology and SDLC processes to deliver robust solutions.

Required Skills

• 12+ years of IT industry experience.
• Expert proficiency in Python.
• Strong command of SQL Server and relational database concepts.
• Hands-on experience with Snowflake and Azure Databricks.
• Proven experience in Data Integration and Data Quality practices.
• Experience with ETL processes.
• Familiarity with scheduling tools like Control-M or Autosys.
• Strong analytical and problem-solving capabilities.

Preferred Skills

• Experience with PySpark.
• Experience in Capital Markets or regulatory application development.

Key Skills

Education

Any Gradute