Data Engineer (Data & Integration Engineer)

Cirruslabs; Pune District, Bengaluru, Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Cirruslabs in Pune District, India, seeks an experienced Data Engineer to design and operate scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions. The role emphasizes data integration across REST/Microsoft Graph APIs and enterprise apps, with strong SQL and data modeling requirements.

The ideal candidate will have 7+ years in data engineering, proficiency with Azure or AWS services, and hands-on API experience.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 7+ years of experience in Data Engineering, Data Integration, 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 with JSON, XML, and data transformation techniques.
• Strong understanding of data modeling, 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration solutions.
• Develop and optimize complex SQL queries, views, stored procedures, and data models for analytics and operational reporting.
• Integrate data from 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 data solutions on Azure or AWS.
• Troubleshoot and resolve data quality, synchronization, transformation, and integration issues.
• Collaborate with business and technical stakeholders to gather data requirements and deliver scalable integration solutions.
• Maintain technical documentation, data mappings, and integration workflows while adhering to data governance best practices.

Skills

SQL

ETL development

Data integration

Data pipelines

Query optimization

REST APIs

Graph APIs

Azure

AWS

Power Automate

Git / VS Code

Troubleshooting

Education

Bachelor’s or Master’s degree in Computer Science/IT/Data Engineering

Tools

Azure

Azure SQL

Logic Apps

AWS Redshift

S3

Glue

Git

VS Code

REST APIs

Microsoft Graph

JSON/XML

Job description

Role & responsibilities

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration solutions.
• Develop and optimize complex SQL queries, views, stored procedures, and data models for analytics and operational reporting.
• Integrate data from 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 data solutions on Azure or AWS.
• Troubleshoot and resolve data quality, synchronization, transformation, and integration issues.
• Collaborate with business and technical stakeholders to gather data requirements and deliver scalable integration solutions.
• Maintain technical documentation, data mappings, and integration workflows while adhering to data governance best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 7+ years of experience in Data Engineering, Data Integration, 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 data transformation techniques.
• Strong understanding of data modeling, 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 data processing and automation.
• Knowledge of data architecture, metadata management, and data governance principles.
• Experience supporting AI, automation, and cloud-native data solutions.
• Familiarity with Agile/Scrum development methodologies and DevOps practices.