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Application Developer - (Snowflake, Python & AWS)

  • Bengaluru, Karnataka, India
  • Full-time
  • Posted Nov 6, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise Software

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Skills

Snowflake ArchitectureSnowparkSnowpipeStreams & TasksDynamic TablesData SharingPerformance TuningCost OptimizationPythonSQLPySparkPandasNumPyETL/ELT DesignData PipelinesData WarehousingData Lakehouse ArchitectureData ModelingAzure OpenAIOpenAI APIsLLMsRAGAI AgentsPrompt EngineeringVector DatabasesLangChainSemantic KernelMicrosoft AzureAzure Data FactoryAzure DatabricksAzure AI ServicesMicrosoft FabricGitHubAzure DevOpsCI/CDDockerKubernetesTerraformData SecurityData Quality ManagementMetadata ManagementComplianceAccess ControlsPower BITableauAdvanced AnalyticsSnowflakePythonSQLPySparkPandasNumPyAzureGitHubAzure DevOpsDockerKubernetesTerraformPower BITableau

Full description

Job Description: Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Solution Architecture. Minimum 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization. Proven experience designing enterprise-scale cloud data platforms and analytics solutions. Strong experience with data modernization, cloud migration, and digital transformation initiatives. Experience leading technical teams and collaborating with cross-functional stakeholders. Excellent communication, presentation, and stakeholder management skills. Required Skills Snowflake: Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization. Programming: Python, SQL, PySpark, Pandas, NumPy. Data Engineering: ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling. Generative AI & AI Technologies: Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel. Cloud Platforms: Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric. DevOps & Automation: GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform. Data Governance: Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls. Visualization & Analytics: Power BI, Tableau, Advanced Analytics. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

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