Data And Integration Engineer

CirrusLabs, LLC; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,500,000 - 3,000,000; Full time

Job summary

CirrusLabs, LLC in India seeks an experienced Data Engineer to design, develop, and maintain scalable datapipelines and ETL/ELT workflows for analytics and operational reporting. You will optimize SQL queries, integrate REST and Graph APIs, and build cloud-based data solutions on Azure or AWS, ensuring data quality and governance across structured, semi-structured, and unstructured data.

You will collaborate with stakeholders, document mappings, and implement automation using Git, VS Code, and

Qualifications

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

Responsibilities

• Design, develop, and maintain scalable datapipelines, ETL/ELT workflows, and data integration solutions.
• Develop and optimize complex SQL queries, views, stored procedures, and data models for analytics and reporting.
• Integrate data from REST APIs, Graph APIs, enterprise applications, databases, and cloud platforms.
• Process, transform, and manage structured, semi-structured, and unstructured data (JSON).
• Design, implement, and support cloud-based data solutions on Azure or AWS.
• Troubleshoot data quality, synchronization, transformation, and integration issues.
• Collaborate with stakeholders to gather data requirements and deliver scalable integration solutions.
• Maintain technical documentation, data mappings, and integration workflows with data governance best practices.

Skills

SQL proficiency

Data integration

ETL/ELT development

REST APIs

Graph APIs

JSON/XML handling

Azure/AWS

Workflow automation

Git & VS Code

Education

Bachelor's or Master's in CS/IT/Data Engineering

Tools

Git

Visual Studio Code

Azure Logic Apps

Power Automate

Job description

Key Responsibilities

• Design, develop, and maintain scalable datapipelines, ETL/ELT workflows, and dataintegration solutions.
• Develop and optimize complex SQL queries, views, stored procedures, and datamodels for analytics and operational reporting.
• Integrate datafrom REST APIs, Graph APIs, enterprise applications, databases, and cloud platforms.
• Process, transform, and manage structured, semi-structured, and unstructured data, including JSON.
• Design, implement, and support cloud-based datasolutions on Azure or AWS.
• Troubleshoot and resolve dataquality, synchronization, transformation, and integration issues.
• Collaborate with business and technical stakeholders to gather datarequirements and deliver scalable integration solutions.
• Maintain technical documentation, datamappings, and integration workflows while adhering to datagovernance best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science,InformationTechnology, DataEngineering, or a related field.
• 7+ years of experience in DataEngineering, DataIntegration, or ETL development.
• Strong expertise in SQL, including joins, views, stored procedures, query optimization, and performance tuning.
• Hands-on experience with REST APIs, Microsoft Graph APIs, and enterprise application integrations.
• Experience working with JSON, XML, and datatransformation techniques.
• Strong understanding of datamodeling, normalization, and relational database concepts.
• Experience with Azure services (Storage, Azure SQL, Logic Apps) or AWS services (Redshift, S3, Lambda, Glue).
• Experience with Microsoft Power Automate or Azure Logic Apps for workflow automation.
• Proficiency with Git, Visual Studio Code, and version control best practices.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills

• Experience integrating with enterprise platforms such as ServiceNow, Dynatrace, SolarWinds, and Nexthink.
• Programming experience using Python for dataprocessing and automation.
• Knowledge of dataarchitecture, metadata management, and datagovernance principles.
• Experience supporting AI, automation, and cloud-native datasolutions.
• Familiarity with Agile/Scrum development methodologies and DevOps practices.