Pune · Senior
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| Category | Essential for this role |
| Education and Qualifications | Bachelor’s degree in Computer Science, Engineering, or a related field |
| Work Experience | 1. 5–8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components. |
Technical / Professional Skills Please provide at least 3 | 1. Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support. 2. Hands-on experience with Python and SQL for data transformation and validation 3. Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts 4. Experience with implementing knowledge base and RAG solutions for agentic AI use cases |
| Non-Technical / Soft Skills | 1. Self-starter with strong problem-solving skills and a keen attention to detail 2. Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions. 3. Strong documentation and communication skills |
| Other Task-Specific Knowledge | 1. Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions. |
AI Factory
1
AZURE,Databricks,Kafka,PySpark,SQL,Delta Lake,Cloud Data Platforms,ETL
5 to 10 years
AI Data Engineer
Databricks,Kafka,PySpark,SQL,Delta Lake,Cloud Data Platforms,ETL,Azure
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