Data Engineering

CirrusLabs; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

CirrusLabs seeks a Data & Integration Engineer with 7+ years of experience to design, build, and maintain scalable data integration solutions. You will work across data engineering, API integrations, cloud platforms, and ETL processes to support AI, automation, and enterprise data initiatives.

The role emphasizes developing data pipelines, optimizing SQL, and collaborating with stakeholders to deliver robust data solutions across Azure or AWS environments.

Qualifications

• Bachelor's or Master's degree in CS/IT/Data Eng or related field.
• 7+ years of experience in Data Engineering, Data Integration, or ETL development.
• Strong SQL skills with complex queries and performance tuning.
• Hands-on experience with REST APIs and enterprise integrations.
• Experience with JSON/XML data and data transformation techniques.
• Knowledge of data modeling and relational databases.
• Experience with Azure or AWS data services and workflow automation.
• Proficiency with Git and VS Code.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Optimize SQL queries, views, procedures, and data models for analytics.
• Integrate data from REST/Graph APIs, enterprise apps, databases, and cloud platforms.
• Process and transform structured, semi-structured, and unstructured data (JSON).
• Design and support cloud-based data solutions on Azure or AWS.
• Troubleshoot data quality, sync, transformation issues.
• Collaborate with stakeholders to gather data requirements and deliver scalable solutions.
• Maintain documentation, mappings, and governance adherence.

Skills

SQL

REST APIs

ETL

Data integration

Data modeling

Cloud platforms

Git

VS Code

Problem solving

Analytical skills

Education

Bachelor's or Master's degree

Tools

Git

Visual Studio Code

Azure Logic Apps

Power Automate

SQL IDE

Job description

Job Title: Data & Integration Engineer (7+ Years)

Role Summary

We are seeking a skilled Data & Integration Engineer with 7+ years of experience in designing, developing, and maintaining scalable data integration solutions. The ideal candidate will have expertise in data engineering, API integrations, cloud platforms, and ETL processes to support AI, automation, and enterprise data initiatives.

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.