Platform Engineer - Dholera
Only for registered members Dholera, India
1 month ago
* This salary range is an estimation made by beBee
Job summary
Tata Electronics is building India's first AI-enabled state-of-the-art Semiconductor Foundry. The facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.
Responsibilities
- Architect and implement a scalable, offline Data Lake for structured, semi-structured, and unstructured data in an on-premises, air-gapped environment.
- Collaborate with Data Engineers, Factory IT, and Edge Device teams to enable seamless data ingestion and retrieval across the platform.
- Integrate with upstream systems like MES, SCADA, and process tools to capture high-frequency manufacturing data efficiently.
- Monitor and maintain system health, including compute resources, storage arrays, disk I/O, memory usage, and network throughput.
- Optimize Data Lake performance via partitioning, deduplication, compression (Parquet/ORC), and implementing effective indexing strategies.
- Select, integrate, and maintain tools like Apache Hadoop, Spark, Hive, HBase, and custom ETL pipelines suitable for offline deployment.
- Build custom ETL workflows for bulk and incremental data ingestion using Python, Spark, and shell scripting.
- Implement data governance policies covering access control, retention periods, and archival procedures with security and compliance in mind.
- Establish and test backup, failover, and disaster recovery protocols specifically designed for offline environments.
- Document architecture designs, optimization routines, job schedules, and standard operating procedures (SOPs) for platform maintenance.
- Conduct root cause analysis for hardware failures, system outages, or data integrity issues.
- Drive system scalability planning for multi-fab or multi-site future expansions.
Qualifications
- BE/ ME in Computer science, Machine Learning, Electronics Engineering, Applied mathematics, Statistics.
Desired Experience Level
- 4 Years relevant experience post Bachelors
- 2 Years relevant experience post Masters
- Experience with semiconductor industry is a plus
Job description
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