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Senior Analyst, Big Data Analytics & Engineering - Mastercard
Software Engineer
Senior analyst leading design, development, and optimization of large‑scale data pipelines and analytics solutions, leveraging Python, Spark, Hadoop, and cloud services to drive actionable insights for payment systems.
About the role
Key Responsibilities
- Design, build, and maintain scalable big‑data pipelines using Apache Spark, Hadoop, and cloud services.
- Develop data models, ETL processes, and analytical workflows to support real‑time and batch reporting.
- Collaborate with data scientists and product teams to translate business requirements into robust data solutions.
- Optimize performance, reliability, and cost efficiency of data platforms across multi‑cloud environments.
- Implement data governance, security, and quality standards in line with industry regulations.
Requirements
- 5+ years of experience in big‑data engineering, preferably in payments or financial services.
- Proficiency in Python and SQL for data manipulation and analysis.
- Hands‑on experience with Apache Spark, Hadoop ecosystem, and cloud platforms such as AWS or GCP.
- Strong understanding of data modeling, ETL design, and performance tuning.
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.
Skills
pythonapache sparkhadoopsql