Live opening · Posted 1 day ago

Senior Data Engineer

Talentmatics · Noida, Uttar Pradesh, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyTalentmatics
LocationNoida, Uttar Pradesh, India (On-site)
Work modeNo
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

We are hiring Senior FDE professionals with strong expertise in Databricks, Apache Spark, Data Engineering, Cloud, Data Migration and GenAI/RAG.
Required Skills :
10+ years overall experience with 7+ years in Data Engineering.
Strong hands-on experience with Databricks.
Strong expertise in Apache Spark, PySpark & Spark SQL.
Hands-on experience with Data Migration / Cloud Migration / Data Modernization.
Strong Data Architecture / Solution Architecture experience.
Experience with AWS, Azure or GCP.
Strong understanding of Delta Lake & Unity Catalog.
Experience with batch & streaming data processing.
Strong Python/PySpark coding skills.
Experience with CI/CD and DevOps.
Exposure to GenAI, LLM, RAG and MLOps/MLflow.
Strong production troubleshooting, debugging and RCA skills.
Customer-facing experience with strong stakeholder communication and technical solutioning.
Key Responsibilities :
Design and implement scalable Databricks & Spark-based data solutions.
Lead data migration and modernization initiatives.
Design enterprise Lakehouse and data architectures.
Develop production-grade data pipelines and integrations.
Optimize Spark workloads and troubleshoot complex production issues.
Implement batch and streaming data solutions.
Work with Unity Catalog, Delta Lake and Databricks ecosystem.
Contribute to GenAI/RAG and MLOps solutions.
Engage with customers and stakeholders to understand requirements and provide technical solutions.
Drive architecture discussions, technical design and end-to-end implementation.

Work arrangement
No

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