Description

You will own the design and implementation of large-scale data solutions.

Responsibilities

• Design and develop scalable ETL workflows using Databricks and PySpark.
• Collaborate with business and technology stakeholders to gather requirements and deliver solutions.
• Implement robust data modeling practices for investment banking applications.
• Optimize data pipelines for performance, reliability, and scalability.
• Ensure data quality, governance, and compliance with financial industry standards.

Required Skills

• 6-10 years of IT experience.
• Expertise in Databricks and PySpark.
• Strong background in ETL and Data Modeling.
• Hands-on experience with Spark workloads, including tuning and debugging.
• Proven ability to design and implement large-scale data solutions.
• Mandatory experience in the Investment Banking domain.
• Experience working within Agile methodologies.
• Excellent problem-solving and communication skills.

Key Skills

Education

Any Gradute