Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Pune, India
- Employment
- Full-time
- Experience
- Senior Level All about you: 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
- Education
- BE/BTech in any discipline.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Senior Data Engineer delivers data management solutions for product engagements, including large-scale enterprise ETL processes for global clients. The role also contributes to collaborative team practices and the design and improvement of processes.
What You'll Do
- Design, implement, automate, and maintain large-scale enterprise ETL processes.
- Deliver accurate, robust data solutions across multiple clients, solutions, and industry sectors.
- Use source control, participate in code reviews, and perform data validation and testing.
- Collaborate on streamlined processes and build working relationships with peers and clients across local and global teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires a BE/BTech in any discipline; excellent English quantitative, technical, and communication skills; hands-on ETL experience; proficiency in at least one scripting language; self-motivated leadership and experience working in teams; and the ability to innovate, think critically, disaggregate problems, validate work quality, balance projects, and work with global offices across time zones.
Preferred
- Pyspark or Databricks for ETL technologies
- Python as a scripting language
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data EngineerData Engineer, D&AWho is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions.
Role
The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance collaborative workplace. A Data Engineer will:
Independently executes 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
All about you:
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
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
About the company
Mastercard
Large Enterprise
Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.