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 Azure
• Data Engineering: Azure Databricks, Snowflake
• Programming: Python, SQL
• Streaming: Apache Kafka
• Infrastructure as Code: Terraform
• CI/CD: Azure DevOps, GitHub Actions
• API Technologies: REST API, GraphQL
• Version Control: Git
• Generative 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 Certification
• Experience with Agile/Scrum methodology
• Knowledge of monitoring tools such as Azure Monitor, Log Analytics, or Application Insights