Mastercard
payments
SeniorDataEngineer
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“Senior Data Engineer at Mastercard. Skills: Data Engineering, PL/SQL, Java, Spring boot, SQL, ETL, Data warehousing, Large-scale data processing, DevOps. Build and maintain database technologies, environments, and applications. Write SQL statement procedures to optimize SQL execution and query development”
What You'll Achieve.
Seeking opportunities for improvements and efficiencies; Meet project deliverables; Proactively identifying security risks and implementing both risk mitigation plans and control functions; Identify and test opportunities for automation and/or reduction in time to deployment; Fulfill ad-hoc investigations; Produce comprehensive and accurate data artifacts; Improve our data modeling, quality, and architecture
Industry & Context.
Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement; 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
What They're Looking For.
Must 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, Experience with Data warehousing concepts and ETL concepts, Experienced with working with large data sets, Implemented parallel processing and dealt with the limitations and challenges of working with terabytes of data, 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, 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
Nice to Have
ODS or data warehousing experience, Knowledge on cloud, Databricks, Delta Lake, Spark, Hadoop, Power BI, Understanding of PCI, PII and other financial security requirements, 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
What You'll Do.
Build and maintain database technologies
Write SQL statement procedures to optimize SQL execution and query development
Utilize various technology like PL/SQL packages for ETL
Manage the deployment of data solutions
Lead database security posture
Support process improvement efforts to identify and test opportunities for automation and/or reduction in time to deployment
Participate in the entire solution development cycle from requirement gathering to solution deployment
Support production code to produce comprehensive and accurate data artifacts
Promote strategies to improve our data modeling
How You'll Work.
Team & Collaboration
Working with multiple stakeholders across teams to fulfill ad-hoc investigations; Solid experience of working in project teams
Communication Scope
Excellent written and verbal communication skills; Capable of effectively communicating requirements and solutions to audiences with different skill sets
Process & Methodology
Participating in the entire solution development cycle from requirement gathering to solution deployment
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 ### We 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 cyc
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