Senior Data Engineer

Overview

Senior Data Engineer on Mastercard's Data & Analytics team, building and maintaining large-scale enterprise ETL processes for a global client base.

What you'll do

• Independently execute projects through design, implementation, automation, and maintenance of large scale enterprise ETL processes for a global client base.
• Act as an expert data resource within the team.
• Deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions and industry sectors.
• Build trust-based working relationships with peers and clients across local and global teams.
• Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group.
• Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing.
• Comply and uphold all Mastercard internal policies and external regulations.

What you'll need

• BE/BTech in any discipline.
• Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener.
• Expertise with hands-on experience with ETL technologies, preferably Pyspark or Databricks.
• Proficiency with at least one scripting language (preferably Python).
• Proven self-motivated leader with experience working in teams.
• Demonstrate excellent skills in the ability to innovate, think critically and disaggregate problems.
• Able to provide oversight, validation and quality control to own and team work product.
• Able to balance multiple projects and differing project priorities.
• Flexible to work with global offices across several time zones.

Details

• Location: Pune, India.
• Works with global offices across several time zones.