Live opening · Posted 5 days ago

AI Data Engineer

Client · Pune District, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyClient
LocationPune District, Maharashtra, India (On-site)
Work modeNo
SkillsPython, Azure
SourceLinkedin
ListedPosted 5 days ago

About the role

Description supplied by the original job listing.

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:
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.
Bachelor’s degree in Computer Science, Engineering, or a related field
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.
Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.
roven 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.
Hands-on experience with Python and SQL for data transformation and validation
Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts
Job Stability - min 2 years in an organization
Mandatory Skills : AZURE,Databricks,Kafka,PySpark,SQL,Delta Lake,Cloud Data Platforms,ETL
Notice Period - Immediate to 30days
Excellent communication

Work arrangement
No

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