Data Engineer II
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, optimize, and maintain large-scale data pipelines and database environments, including cloud platforms like Databricks or Cloudera.
- Support multiple data analysts and scientists by enabling efficient data extraction, transformation, and loading (ETL) processes for large-scale analytics.
- Lead database security efforts and collaborate across teams to deliver data solutions and automation for improved deployment and data quality.
Minimum Requirements
- Experience working with large-scale data and building automated ETL workflows is mandatory.
- Proficient in SQL and relational database management with demonstrated query optimization skills.
- Skills in Spark (Scala/Python), Apache Kafka, and familiarity with cloud data platforms such as Databricks or Cloudera required.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Detail-oriented engineer experienced in managing big datasets and implementing parallel data processing for terabyte-scale systems.
- Comfortable working across the full data solution lifecycle from requirements gathering to operational deployment and automation.
- Ability to communicate technical requirements effectively across diverse teams and independently resolve complex data issues.