Design, build, and operate large-scale data lakehouse platforms and data products. Partner with business and engineering teams to develop data pipelines, models, and governance; participate in agile ceremonies, architectural discussions, and CI/CD practices to ensure scalability, performance, and regulatory compliance.
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 Analyst, Big Data Analytics & Engineering
Background
Mastercard is on a journey to modernize and advance our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. This position will be responsible for developing and delivering high-impact technology solutions that align with our business and technical objectives. By collaborating with cross-functional teams, including business/product owners and other technical experts, you will ensure that our solutions meet evolving customer needs while improving performance, scalability, and reliability.
Responsibilities
- Partnering with data owners, engineering and platform teams to create robust data pipelines, create Data Products, implement data models.
- Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs.
- Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
- Adoption of best practices in data engineering, automated code reviews, testing, and continuous integration/continuous delivery (CI/CD).
- Optimize the cost/benefit of implementing code a certain way, architecture alignment, ensuring scalability, performance, and operational efficiency.
- Ensuring solutions align with Mastercard's engineering and data principles, and technical policies.
- Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
- Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent
- Participate in architectural discussions, iteration planning, and feature sizing meetings
- Adhere to Agile processes and participate actively in agile ceremonies
All About You
5+ years of hands-on experience building Data platforms (data lakehouses) developing solutions on on-prem / cloud.
- Proven experience as a hands-on data engineer, with a strong focus on delivering large-scale projects in an agile environment.
- Deep understanding and experience with Cloudera Data Platform (CDP)
- Strong hands-on experience with PySpark.
- Experience with Cloudera Data Platform (CDE, CDW, Ozone, Airflow, SDX), Apache Ranger
- Deep understanding of distributed data systems and Hive Metastore
- Experience and understanding of cataloging, lineage, and governance
- Experience / understanding Open Data Contract Standard (ODCS) and its implementation
- Experience working with SQL, file formats (Iceberg/Parquet), and partitioning/bucketing strategies.
- Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.
- Experience with data lifecycle management, including ingestion, ETL, pruning, modeling, and governance, within highly regulated environment
-Experience and knowledge of Bit Bucket, Rally, and Jenkins a plus
-Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
- Nice to have
----- Experience modernizing enterprise finance systems or regulated environments
------Knowledge of CI/CD, data engineering best practices
------Understanding of financial data structures, accounting processes, or reconciliation workflows.
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:
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 Analyst, Big Data Analytics & Engineering
Background
Mastercard is on a journey to modernize and advance our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. This position will be responsible for developing and delivering high-impact technology solutions that align with our business and technical objectives. By collaborating with cross-functional teams, including business/product owners and other technical experts, you will ensure that our solutions meet evolving customer needs while improving performance, scalability, and reliability.
Responsibilities
- Partnering with data owners, engineering and platform teams to create robust data pipelines, create Data Products, implement data models.
- Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs.
- Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
- Adoption of best practices in data engineering, automated code reviews, testing, and continuous integration/continuous delivery (CI/CD).
- Optimize the cost/benefit of implementing code a certain way, architecture alignment, ensuring scalability, performance, and operational efficiency.
- Ensuring solutions align with Mastercard's engineering and data principles, and technical policies.
- Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
- Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent
- Participate in architectural discussions, iteration planning, and feature sizing meetings
- Adhere to Agile processes and participate actively in agile ceremonies
All About You
5+ years of hands-on experience building Data platforms (data lakehouses) developing solutions on on-prem / cloud.
- Proven experience as a hands-on data engineer, with a strong focus on delivering large-scale projects in an agile environment.
- Deep understanding and experience with Cloudera Data Platform (CDP)
- Strong hands-on experience with PySpark.
- Experience with Cloudera Data Platform (CDE, CDW, Ozone, Airflow, SDX), Apache Ranger
- Deep understanding of distributed data systems and Hive Metastore
- Experience and understanding of cataloging, lineage, and governance
- Experience / understanding Open Data Contract Standard (ODCS) and its implementation
- Experience working with SQL, file formats (Iceberg/Parquet), and partitioning/bucketing strategies.
- Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.
- Experience with data lifecycle management, including ingestion, ETL, pruning, modeling, and governance, within highly regulated environment
-Experience and knowledge of Bit Bucket, Rally, and Jenkins a plus
-Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team
- Nice to have
----- Experience modernizing enterprise finance systems or regulated environments
------Knowledge of CI/CD, data engineering best practices
------Understanding of financial data structures, accounting processes, or reconciliation workflows.
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.
Mastercard Saint Leonards, Victoria, AUS Office
72 Christie St, Saint Leonards, St Leonards, Australia, NSW 2065
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