Senior Data Engineer
Take-Two Interactive Software, Inc. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable, stable data pipelines using stream and batch processing architectures.
- Drive improvements in data architecture, quality, monitoring, and availability, integrating new data sources for reliability.
- Develop and oversee data quality frameworks, enterprise-wide data dictionary, and monitoring/alerting policies for critical data systems.
Minimum Requirements
- 5+ years experience with SQL, Python (including PySpark on Databricks), and large-scale distributed computing technologies (Spark/Hive/Hadoop).
- Demonstrated experience with Databricks platform optimization and pipeline orchestration.
- Experience with CI/CD systems and testing/monitoring data for anomalies and issue resolution.
- Work Experience Required: 5+ years; Location and notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in leading architecture and implementation of end-to-end big data systems in a global, cross-functional environment.
- Strong background in distributed computing and data platform optimization, particularly with Databricks and related ecosystems.
- Capable of enforcing best practices in coding, source management, and mentoring junior engineers, with knowledge of agile software development lifecycle.