Cloud Data Engineer - 2+ Years - immediate joiners only

Cloud Data Engineer (Azure) 2+ Years Experience Experience: 2+ Years Location: Hyderabad/Bangalore/Chennai/Pune (Hybrid/Remote as applicable) Employment Type: Full-Time Job Summary We are seeking a highly motivated Cloud Data Engineer with 2+ years of experience in designing and developing modern cloud-based data solutions. The ideal candidate should have hands-on experience with Azure, Databricks, Snowflake, CI/CD, Terraform, Kafka, APIs, GraphQL, and exposure to Generative AI technologies. The candidate will be responsible for building scalable data pipelines, integrating enterprise applications, and supporting cloud-native data platforms. Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks.Build and optimize ETL/ELT workflows for structured and semi-structured data.Develop and manage cloud data warehouses using Snowflake.Implement data ingestion pipelines using Kafka, REST APIs, and GraphQL APIs.Develop infrastructure as code (IaC) using Terraform.Configure and maintain CI/CD pipelines for automated deployments using Azure DevOps or GitHub Actions.Integrate multiple enterprise applications through RESTful APIs and GraphQL.Work with Azure cloud services such as Azure Data Factory, Azure Storage, Azure SQL, Key Vault, and Azure Functions.Optimize data processing jobs for performance, scalability, and cost.Collaborate with data scientists and application teams to enable AI/ML and Generative AI use cases.Implement data quality, governance, security, and monitoring best practices.Troubleshoot production issues and provide timely resolutions.Required Skills 2+ years of experience as a Data Engineer or Cloud Data Engineer.Strong experience with Azure Cloud Services.Hands-on experience with Azure Databricks.Experience working with Snowflake Data Warehouse.Experience developing CI/CD pipelines using Azure DevOps or GitHub Actions.Hands-on experience with Terraform for infrastructure automation.Experience with Apache Kafka for real-time data streaming.Good understanding of REST APIs and GraphQL.Experience integrating cloud services through APIs.Knowledge of SQL and Python.Familiarity with Git version control.Preferred Skills Exposure to Generative AI (Gen AI) services such as Azure OpenAI, OpenAI APIs, or LangChain.Experience with Vector Databases and Retrieval-Augmented Generation (RAG).Knowledge of Spark, Delta Lake, and Data Lake architecture.Experience with Docker and Kubernetes is an added advantage.Understanding of data governance and security best practices.Technical Skills Cloud: Microsoft AzureData Engineering: Azure Databricks, SnowflakeProgramming: Python, SQLStreaming: Apache KafkaInfrastructure as Code: TerraformCI/CD: Azure DevOps, GitHub ActionsAPI Technologies: REST API, GraphQLVersion Control: GitGenerative AI: Azure OpenAI, OpenAI APIs, LangChain (preferred)Educational Qualification Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.Nice to Have Azure Certifications (AZ-900, DP-203, AZ-204)Snowflake SnowPro CertificationExperience with Agile/Scrum methodologyKnowledge of monitoring tools such as Azure Monitor, Log Analytics, or Application Insights Cloud Data Engineer (Azure) 2+ Years Experience Experience: 2+ Years Location: Hyderabad/Bangalore/Chennai/Pune (Hybrid/Remote as applicable) Employment Type: Full-Time Job Summary We are seeking a highly motivated Cloud Data Engineer with 2+ years of experience in designing and developing modern cloud-based data solutions. The ideal candidate should have hands-on experience with Azure, Databricks, Snowflake, CI/CD, Terraform, Kafka, APIs, GraphQL, and exposure to Generative AI technologies. The candidate will be responsible for building scalable data pipelines, integrating enterprise applications, and supporting cloud-native data platforms. Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks.Build and optimize ETL/ELT workflows for structured and semi-structured data.Develop and manage cloud data warehouses using Snowflake.Implement data ingestion pipelines using Kafka, REST APIs, and GraphQL APIs.Develop infrastructure as code (IaC) using Terraform.Configure and maintain CI/CD pipelines for automated deployments using Azure DevOps or GitHub Actions.Integrate multiple enterprise applications through RESTful APIs and GraphQL.Work with Azure cloud services such as Azure Data Factory, Azure Storage, Azure SQL, Key Vault, and Azure Functions.Optimize data processing jobs for performance, scalability, and cost.Collaborate with data scientists and application teams to enable AI/ML and Generative AI use cases.Implement data quality, governance, security, and monitoring best practices.Troubleshoot production issues and provide timely resolutions.Required Skills 2+ years of experience as a Data Engineer or Cloud Data Engineer.Strong experience with Azure Cloud Services.Hands-on experience with Azure Da