Senior Data Engineer
Art Technology and Software.
Infopark, Kerala
Job Title: Senior Data Engineer
Work mode: Remote
Employment Type: Full-Time
Experience: 7+ Years
Job Summary
We are looking for a Senior Data Engineer to design and build scalable data solutions for engineering analytics and AI-driven insights. The ideal candidate will focus on building robust data pipelines, optimizing data models, and delivering high-quality datasets that power business intelligence and decision-making.
Key Responsibilities
Design and implement scalable data pipelines for engineering and AI telemetry data
Build and maintain analytics-ready data models in Azure SQL
Develop data ingestion, transformation, and validation pipelines across batch and near real-time systems
Create and manage metric-ready datasets and data contracts for analytics teams
Ensure data reliability, quality, and integrity through validation and monitoring
Implement observability and production readiness, including:Monitoring,Logging,Testing,CI/CD pipelines
Collaborate with stakeholders to translate business requirements into data architecture
Required Skills & Experience
7+ years of experience in Data Engineering
Strong expertise in Azure SQL
Advanced proficiency in: SQL (complex queries and performance tuning), Data warehousing concepts,Pipeline orchestration
Strong understanding of: Dimensional modeling,Analytics data design
Experience implementing:Data quality frameworks,Data lineage,Operational monitoring
Ability to work with senior stakeholders and cross-functional teams
Preferred Skills
Experience with Microsoft Fabric, including:Data Factory,Lakehouse Warehouse,OneLake
Exposure to engineering systems data, such as:Azure DevOps,GitHub,CI/CD pipelines
Work mode: Remote
Employment Type: Full-Time
Experience: 7+ Years
Job Summary
We are looking for a Senior Data Engineer to design and build scalable data solutions for engineering analytics and AI-driven insights. The ideal candidate will focus on building robust data pipelines, optimizing data models, and delivering high-quality datasets that power business intelligence and decision-making.
Key Responsibilities
Design and implement scalable data pipelines for engineering and AI telemetry data
Build and maintain analytics-ready data models in Azure SQL
Develop data ingestion, transformation, and validation pipelines across batch and near real-time systems
Create and manage metric-ready datasets and data contracts for analytics teams
Ensure data reliability, quality, and integrity through validation and monitoring
Implement observability and production readiness, including:Monitoring,Logging,Testing,CI/CD pipelines
Collaborate with stakeholders to translate business requirements into data architecture
Required Skills & Experience
7+ years of experience in Data Engineering
Strong expertise in Azure SQL
Advanced proficiency in: SQL (complex queries and performance tuning), Data warehousing concepts,Pipeline orchestration
Strong understanding of: Dimensional modeling,Analytics data design
Experience implementing:Data quality frameworks,Data lineage,Operational monitoring
Ability to work with senior stakeholders and cross-functional teams
Preferred Skills
Experience with Microsoft Fabric, including:Data Factory,Lakehouse Warehouse,OneLake
Exposure to engineering systems data, such as:Azure DevOps,GitHub,CI/CD pipelines
If this opportunity aligns with your career goals, kindly share your updated resume with us at lavanya.a@arttechgroup.com
Send your resume to lavanya.a@arttechgroup.com
Send your resume to
lavanya.a@arttechgroup.com