Data Engineer II
Mastercard (company site, opens in a new tab)1–2 yrsPuneOn-siteDirect career pageEst. 8–15 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain batch and near real-time data pipelines using Java, Python, Spark, and SQL across Data Lake and Data Warehouse environments.
- Build, deploy, and support scalable cloud-native data processing solutions on AWS, Azure, or GCP platforms with automation and monitoring to ensure reliability.
- Collaborate with cross-functional teams to support AI/ML initiatives and develop data pipelines for analytics, predictive modeling, and Generative AI applications.
Minimum Requirements
- 1-2 years of experience in software engineering, data engineering, or related technical roles.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
- Hands-on knowledge of Java (JDK 8+) or Python programming, Apache Spark, SQL, ETL/ELT workflows, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with Kafka or other messaging platforms, containerization (Docker), CI/CD tools (Jenkins, GitHub Actions), and version control (Git).
Ideal Candidate Profile
- Early-career professional comfortable working with distributed systems and cloud-native data solutions focused on scalability and reliability.
- Experience or strong interest in integrating AI/ML workflows, particularly in support of Generative AI and large-scale data driven applications.
- Technically skilled in building and automating data pipelines in fast-paced, collaborative global environments.