Senior Data Engineer-2
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 30–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable, reliable data pipelines to build SME data mart on-premises and cloud environments.
- Develop and maintain ETL processes handling billion-level data volumes from multiple sources into centralized storage systems like data warehouse and lake house.
- Collaborate with cross-functional teams including data scientists and analysts to drive data solutions and ensure data quality, security, and compliance.
Minimum Requirements
- Experience designing and implementing large-scale data pipelines using SQL, PySpark, and big data tools such as Hadoop, Kafka, Impala, Hive, Airflow.
- Knowledge and experience with cloud-based data storage and processing systems (Azure, AWS, GCP, Databricks).
- Bachelor’s degree or higher in Computer Science or relevant field.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven ability to independently design and implement data pipelines in distributed computing environments following best coding practices.
- Experience integrating analytical data pipelines for data science projects and creating feature stores is a plus.
- Familiar with CI/CD practices for scalable and reliable data pipelines and programming languages like Python.