Mastercard

1 month ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Define and maintain Mastercard's data architecture and associated data maintenance, integration and load processes. Identify technologies, develop, build, maintain and test database solutions; optimize SQL and query development; support secure, scalable data platforms across the organization using AWS, Databricks and Lakehouse, with collaboration across global teams.

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Identifies and selects appropriate technologies, develops, builds, maintains and tests database technologies, including associated software products.
•Supports the development of SQL tuning statement procedures to optimize SQL tuning and query development.
•Assists in performing database implementations to ensure configuration, process, and procedure standards are in place.
•Supports database security posture including escalating potential concerns and implementing risk mitigation plans and control functions.
•Provides high-level technical assistance to development programmers and customers to ensure proper database performances.

Key Requirements

•Experience in at least one database technology, technical or application area; ability to design and test database architecture standards or frameworks.
•Experience designing and testing database architecture standards or frameworks; knowledge of automation and/or cloud delivery.
•Experience in AWS and Databricks; Python, Spark and Lakehouse knowledge.
•Ability to develop and maintain database technologies and associated software products; experience with SQL tuning and query development.
•Ability to support database security posture, implement risk mitigation plans and control functions.

Experience:PaymentsData analyticsCloud

Skills:SQLPythonSparkLakehouseAWSDatabricks

Tech Stack:AWSDatabricksPythonSparkSQLLakehouse

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Identifies and selects appropriate technologies, develops, builds, maintains and tests database technologies, including associated software products.
•Supports the development of SQL tuning statement procedures to optimize SQL tuning and query development.
•Assists in performing database implementations to ensure configuration, process, and procedure standards are in place.
•Supports database security posture including escalating potential concerns and implementing risk mitigation plans and control functions.
•Provides high-level technical assistance to development programmers and customers to ensure proper database performances.

Key Requirements

•Experience in at least one database technology, technical or application area; ability to design and test database architecture standards or frameworks.
•Experience designing and testing database architecture standards or frameworks; knowledge of automation and/or cloud delivery.
•Experience in AWS and Databricks; Python, Spark and Lakehouse knowledge.
•Ability to develop and maintain database technologies and associated software products; experience with SQL tuning and query development.
•Ability to support database security posture, implement risk mitigation plans and control functions.

Experience:PaymentsData analyticsCloud

Skills:SQLPythonSparkLakehouseAWSDatabricks

Tech Stack:AWSDatabricksPythonSparkSQLLakehouse

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor