15 Databricks Jobs

• Full Time

• 13 - 20 Years

• CD/CI
• Confluent Kafka
• Data Architecture - Data Modeling
• Databricks
• Matlab
• Palantir Foundry
• retrieval augmented generation (rag)
• Spark

ResponsibilitiesKey ResponsibilitiesData Architecture for AIArchitect AI data foundations including ingestion, transformation, enrichment, and serving layersDesign data architectures supporting RAG, embeddings, feature stores, and training data pipelinesDefine standards for data quality, lineage, versioning, and governance for AI workloadsEnsure data…

• Full Time

• 15 - 20 Years

• Artificial Intelligence - ALL
• Databricks
• Generative AI - Basic
• LLMOps

ResponsibilitiesData Engineering & ArchitectureServe as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise.Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers.Lead the…

• Full Time

• 7 - 10 Years

• Data Warehouse Testing
• Databricks
• ETL - Others
• Python - Big Data

ResponsibilitiesDesign and build data ingestion pipelines for files, APIs, SFTP sources, databases and enterprise data extracts.Implement canonical data models, source-to-target mapping, transformation rules, validation checks, rejected-record handling and lineage capture.Develop data quality checks, reconciliation routines, control result tables,…

• Full Time

• 3 - 5 Years

• Databricks

ResponsibilitiesHands-on experience with Databricks platform.Strong knowledge of Apache Spark (PySpark / Scala / SQL).Experience with data pipeline development (ETL/ELT).Proficiency in Python and SQL.Knowledge of data modeling and data warehousing concepts.Experience working with large datasets and distributed systems. Technical…

• Full Time

• 8 - 15 Years

• AI/ML Solution Architecture and Design
• Architecture - ALL
• Data Architecture - Metadata Management
• Databricks
• Databricks AI Engineering Services
• Databricks Machine Learning
• Digital Architecture
• IBM Infosphere Datastage - Datastage
• LLMOps

ResponsibilitiesKey ResponsibilitiesData Architecture for AIArchitect AI data foundations including ingestion, transformation, enrichment, and serving layersDesign data architectures supporting RAG, embeddings, feature stores, and training data pipelinesDefine standards for data quality, lineage, versioning, and governance for AI workloadsEnsure data…

• Full Time

• 10 - 15 Years

• AWS Core services
• Databricks
• Google Cloud - Architecture
• Microsoft Technologies- ALL

ResponsibilitiesArchitect production-grade multi-agent AI systems using LangGraph, AutoGen, CrewAI, or equivalent orchestration frameworks.Design stateful agent workflowsDefine agent capabilities for data discovery, profiling, scoring, enrichment, intelligence extraction, and contextual reasoning across enterprise data estate.Build and guide the design of…

• Full Time

• 6 - 8 Years

• Azure Application Gateway
• Azure Data Factory (ADF)
• Azure Virtual Machines
• Databricks

ResponsibilitiesDesign, develop, and maintain scalable Azure Databricks solutions for enterprise data platforms.Build and optimize end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Azure Data Factory (ADF).Develop robust data ingestion frameworks from multiple structured and unstructured data sources.Implement and…

• Full Time

• 6 - 8 Years

• Databricks
• Python

ResponsibilitiesDesign, develop, and maintain scalable Databricks-based data engineering solutions.Build and optimize complex ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Python.Develop robust data ingestion and transformation frameworks for structured and unstructured data.Implement and manage Delta Lake and Lakehouse…

• Full Time

• 12 - 15 Years

• Azure CDN
• Databricks
• PySpark

ResponsibilitiesLead architecture, design, and implementation of enterprise-scale Azure Databricks solutions.Define and govern modern Data Engineering and Data Architecture standards.Design scalable ETL/ELT frameworks, data pipelines, and cloud-native data platforms.Architect solutions using Azure Databricks, PySpark, Azure Data Factory, ADLS Gen2,…

• Full Time

• 5 - 8 Years

• Big Data - ALL
• Databricks
• Hadoop
• Python
• Scala
• Spark Sreaming
• Splunk

ResponsibilitiesPower Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies.,They will be ahead of…

• Full Time

• 2 - 5 Years

• Databricks

ResponsibilitiesDesign, develop, and optimize data pipelines using Azure Databricks.Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.Implement data transformation and processing tasks using PySpark.Ensure data quality and integrity across various data sources.Provide technical guidance and…

• Full Time

• 2 - 5 Years

• Databricks

Responsibilities2–5 years of experience in Data Engineering / Big Data development.Hands-on experience with Databricks platform.Strong knowledge of Apache Spark (PySpark / Scala / SQL).Experience with data pipeline development (ETL/ELT).Proficiency in Python and SQL.Knowledge of data modeling and data…

• Full Time

• 3 - 5 Years

• Databricks

Responsibilities3–5 years of experience in Databricks administration or cloud data platform support.Hands-on experience with Databricks workspace and cluster management.Strong understanding of Apache Spark architecture and performance tuning.Experience with cloud platforms (Azure Databricks, AWS, or GCP).Knowledge of Linux/Unix systems…

• Full Time

• 10 - 15 Years

• Azure Administration
• Databricks

ResponsibilitiesA day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.You will understand requirements, create…

• Full Time

• 10 - 14 Years

• Databricks
• Generative AI - Basic

ResponsibilitiesData Engineering & ArchitectureServe as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise.Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers.Lead the…