Senior Data Engineer

Senior Data Engineer

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 EngineerWe are looking for a Data Engineer to join our Data Engineer team. This is a pivotal role, responsible for supporting multiple Data Analysts and Data Scientists day-to-day and assisting various data-driven requests across the company. The position involves a wide variety of technical skills, from coding to infrastructure, from data analysis to database management. The ideal candidate will have experience working with large-scale data and building automated data ETL processes for large-scale data analysis. ODS or data warehousing experience would be ideal.
Key responsibilities include:
• Build and maintain database technologies, environments, and applications, seeking opportunities for improvements and efficiencies.
• Should have strong hands-on experience and knowledge on PL/SQL and Java and Spring boot
• Write SQL statement procedures to optimize SQL execution and query development.
• Effectively utilizes various technology like PL/SQL packages for ETL.
• Manages the deployment of data solutions that are optimally standardized and database updates to meet project deliverables.
• Leads database security posture, which includes proactively identifying security risks and implementing both risk mitigation plans and control functions.
• Supports process improvement efforts to identify and test opportunities for automation and/or reduction in time to deployment.
• Participating in the entire solution development cycle from requirement gathering to solution deployment.
• Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses.
• Supporting production code to produce comprehensive and accurate data artifacts.
• Promoting strategies to improve our data modeling, quality, and architecture.
• Must be familiar with DevOps tools like Jenkins, Cloud bees, Sonar and more.
• Good to have knowledge on cloud, Databricks, Delta Lake, Spark, Hadoop, Power BI.

All About You:
• Should have experience working on Oracle (PL/SQL) writing optimized SQL queries and packages
• Skilled in Java and Spring boot to write application programming code/ build services.
• Highly skilled in SQL knowledge and relational databases.
• Experienced with developing and maintaining data pipelines for the extraction, transformation, and/or loading of large-scale data (knowledge on any ETL is good to have).
• Strong with Data warehousing concepts and ETL concepts.
• Experienced with working with large data sets. You’ve implemented parallel processing and have dealt with the limitations and challenges of working with terabytes of data.
• Strong analytics skills related to working with unstructured datasets.
• Experienced with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience working with multiple global customers
• Good understanding of technical solutions and software patterns (including architectural & design patterns) at various levels.
• Solid experience of working in project teams
• Desire to stay abreast of new development tools and methods
• Excellent written and verbal communication skills
• Understanding of PCI, PII and other financial security requirements will be preferred
• Experienced with database administration and query optimization with different databases.
• Capable of effectively communicating requirements and solutions to audiences with different skill sets.
• Familiarity with the core requirements of data analysis and/or presentation.
• Focused, innovative, and self-sufficient problem solver who is willing to independently and creatively deep-dive into an issue, cut to the heart of a problem, and solve it.

Bonus Points if:
You have any prior experience with any of the following:
• Jenkins, JFrog, Datadog, Splunk.
• Familiarity with cloud data platforms like Snowflake and Databricks.
• Knowledge on distributed computing architecture like Cloudera Cluster, Hadoop.
• Knowledge on application programming Spark (Scala).
• Javascript, regex
• BI Tools: PowerBI, Tableau

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.

Experience Level

Senior Level