Data Engineer II
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 14–24 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and optimize large-scale automated data ETL pipelines and database environments, focusing on performance and efficiency improvements.
- Manage deployment of standardized data solutions and updates, ensuring database security by identifying risks and implementing mitigation.
- Collaborate cross-functionally to fulfill large-scale data extraction, transformation, analysis requests, and support production code for accurate data outputs.
Minimum Requirements
- Experience with cloud data platforms such as Databricks and/or Cloudera.
- Proficiency in Spark framework (Scala and/or Python), Apache Kafka, and strong SQL and relational database skills.
- Experience developing and maintaining data pipelines for large-scale data extraction, transformation, and loading (ETL).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in working with terabytes of data including parallel processing and managing large, unstructured datasets.
- Skilled in database administration, query optimization, and root cause analysis to improve data processes and answer business questions.
- Able to work independently with strong problem-solving skills and communicate technical requirements across diverse teams.