NOIDA · FULLTIME
Databricks -Technical Specialist-Data Engg
BirlaSoft
Noida · onsite · Posted 51d ago
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Undisclosed3–7 yrsfulltimeNoida
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Section · 01
About this role
Area(s) of responsibility Key Responsibilities
- Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI (model training, evaluation, prompt engineering, RAG)
- Experience Build LLM-powered use cases
- Design and build scalable data pipelines using Databricks, PySpark, and SQL
- Implement Delta Lake, Unity Catalog, and medallion architecture
- Optimize Spark jobs for performance, cost, and scalability
- Perform data ingestion, transformation, and enrichment from multiple sources
- Ensure data quality, reliability, and observability across pipelines
- Design and develop enterprise ontologies, taxonomies, vocabularies, and semantic data models.
- Support AI/ML workloads by preparing high‑quality, feature‑ready datasets
- Develop and fine-tune LLMs/ML models using Databricks MLflow and Mosaic AI
- Implement prompt engineering, model evaluation, and guardrails for enterprise GenAI use cases
- Integrate AI solutions with enterprise data and business workflows
Sourced from linkedin
Section · 02
Skills
data qualityEnterprise ontologiesvocabulariesobservabilityRetrieval Augmented GenerationPrompt EngineeringApache SparkUnity CatalogData ingestionMedallion ArchitecturemlflowMosaic AIDeltatransformationEvaluationreliabilityLarge Language Models (LLMs)Model TrainingEnrichmenttaxonomiesDatabricks GenieSemantic Data ModelsDatabricksPysparkSQLAgentic AiGenerative AiDatabricks Agent BricksArtificial IntelligenceMachine Learning
Section · Company
About Birlasoft
BirlaSoft
IT Services & Consulting
10.9k+
employees
1995
31 years old
Pune, Maharashtra
India
About
Birlasoft combines the power of a domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!
Industries
IT Services & Consulting
Employee ratings
3,764 reviews
3.4/ 5
Culture
3.3
Career growth
2.6
Work-life
3.6
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