Description

You will engineer data pipelines to support analytical and modeling needs.

This role is on-site.

Responsibilities

• Extract and provide data from various bank applications for analysts and modelers.
• Analyze and validate incoming data sets to ensure accuracy and integrity.
• Test and implement new data sources into existing pipelines.
• Collaborate with cross-functional teams to define data requirements.
• Apply data-driven problem-solving to optimize ETL processes.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in ETL processes and tools.
• Strong proficiency in SQL for complex queries and data manipulation.
• Familiarity with Spark for distributed data processing.
• Experience working with data for analytical and modeling purposes.
• Ability to validate and troubleshoot data sets.
• Proven track record of collaborating with cross-functional teams.

Preferred Skills

• Experience in the banking or financial services sector.
• Familiarity with Informatica or similar enterprise ETL platforms.

Key Skills

Education

Any Graduate