Mastercard

FinTech

SeniorDataEngineer-2

₹25–40L ~AI est. Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer-2 at Mastercard. Skills: Data Engineering, ETL, SQL. Support design of enterprise ETL processes. Support implementation of enterprise ETL processes”

Industry & Context.

FinTech
Problems you'll solve

Analyze data issues; Troubleshoot data issues; Provide solutions

What They're Looking For.

Must Have

BETech in quantitative field, Excellent English quantitative skills, Excellent English technical skills, Excellent English communication skills, Experience as Data Engineer, Knowledge of SQL queries, Experience with Relational Databases, Hands-on expertise in Microsoft SQL Server, Familiarity with ETL frameworks, Ability to design ETL processes, Ability to implement ETL processes, Ability to maintain ETL processes, Basic knowledge of testing data, Basic knowledge of validating data

Nice to Have

ME/MTech preferred, Experience with Databricks, Experience with Spark, Experience with emerging developer productivity tools

What You'll Do.

Support design of enterprise ETL processes

Support implementation of enterprise ETL processes

Support maintenance of enterprise ETL processes

Assist in data delivery process

Support on-time data solutions

Support accurate data solutions

Support high-value data solutions

Support robust data solutions

Use SQL to optimize data processing

Use database technologies to optimize data processing

Develop scalable code

Develop efficient code

Reduce time to handle large data sets

Apply industry best practices

Ensure quality in data processes

Participate in efforts to design streamlined processes

Automate routine data tasks

Build trust-based working relationships

Collaborate with senior engineers

Collaborate with peer engineers

Comply with MasterCard internal policies

Uphold MasterCard internal policies

Comply with external regulations

Uphold external regulations

How You'll Work.

Team & Collaboration

Work with Data Engineers; Work with Analysts; Work with peers; Work with clients; Global teams; Local teams

Communication Scope

Oral communication; Written communication

Full Job Description

**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 Engineer-2 ### Senior Data Engineer, DPO Who 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 T&L Data Delivery team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology 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 Senior Data Engineer will participate on data management aspects of client engagements to deliver Test & Learn solutions and other Services products, as well as contribute to and foster a high performance collaborative workplace. Data Engineer II will: • Support the design, implementation, and maintenance of enterprise

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