Senior Data Engineer
Mastercard · Posted Nov 6
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
Mastercard powers the global economy by enabling secure, seamless, and intelligent payments across the world. The Data Collection & Engineering (DC&E) organisation builds next-generation data platforms and analytical ecosystems that support enterprise data warehouse and lakehouse environments. This role designs and scales cloud-enabled data pipelines using Apache Spark, Java/Scala, Hadoop, and AWS services, while supporting analytics, business intelligence, regulatory reporting, cloud migration, and technical leadership.
What you will do
- Design, develop, test, and deploy high-quality, secure, scalable, and resilient data pipelines using Apache Spark, Java/Scala across Hadoop and cloud-native object storage platforms.
- Build and maintain batch and near real-time data processing frameworks capable of supporting petabyte-scale workloads.
- Develop reusable engineering components and frameworks that accelerate data product delivery while maintaining enterprise standards.
- Design and implement a "build once, run anywhere" architecture supporting seamless deployment across on-premises and public cloud environments without code changes.
- Implement data lineage, metadata management, data cataloguing, data quality controls, and observability capabilities across the data ecosystem.
- Collaborate with architects and platform teams to establish scalable design patterns and engineering best practices.
- Contribute to migration initiatives moving legacy ETL and data warehouse workloads from on-premises environments to cloud-native architectures.
- Leverage cloud services such as Amazon S3, EMR, Glue, and related data services to improve scalability, reliability, and operational efficiency.
- Drive adoption of modern lakehouse and distributed compute architectures.
- Lead end-to-end development activities including requirement analysis, solution design, coding, testing, deployment, and production support.
- Mentor and guide junior engineers through code reviews, technical coaching, and engineering best practices.
- Partner with product owners, analysts, architects, and business stakeholders to deliver high-quality solutions within committed timelines.
- Troubleshoot complex production incidents and perform root cause analysis to identify and implement long-term remediation strategies.
- Ensure compliance with Mastercard's engineering, security, quality assurance, and operational governance standards.
- Continuously identify opportunities to improve performance, automation, monitoring, and process efficiency.
- Evaluate emerging data technologies and conduct proof-of-concept (POC) initiatives to determine their applicability within Mastercard's data ecosystem.
- Contribute to engineering innovation and continuous improvement initiatives across the organisation.
Skills used in this role
What the employer is looking for
- 7+ years of experience delivering enterprise-scale Data Warehouse, Data Lake, or Data Lakehouse solutions.
- Proven experience implementing multiple end-to-end data engineering projects within large-scale distributed computing environments.
- Hands-on experience migrating ETL and analytics workloads from on-premises platforms to cloud-native environments.
- Strong development experience using:Apache Spark, Scala or Java, Hadoop ecosystem technologies, Object Storage platforms
- Experience building orchestration and workflow solutions using: Apache Airflow/ Apache NiFi and Similar enterprise scheduling frameworks
- Strong SQL expertise and experience with Relational and NoSQL database technologies: Oracle/ SQL Server, Cassandra, Dynamo DB etc.
- Working knowledge of cloud platforms, preferably AWS: Amazon S3, EMR, AWS Glue, Cloud-native data services
- Strong analytical and problem-solving capabilities.
- Experience operating within Agile delivery environments.
- Excellent written and verbal communication skills.
- Proven ability to collaborate within geographically distributed and matrix-based teams.
- Self-starter with strong ownership, accountability, and execution focus.
- Ability to learn emerging technologies quickly and apply them effectively to business challenges.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
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