Location: Coimbatore
Experience: 7–12 Years
Employment Type: Full-Time
Interview Process: L1 – Face-to-Face Interview
Notice Period: Immediate Joiners Preferred
Job Summary
We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms and pipelines for enterprise-level systems. The ideal candidate will have strong expertise in Python, SQL, Data Engineering, Cloud Platforms, and Modern Data Stack technologies, with hands-on experience in building robust ETL/ELT pipelines, Lakehouse architectures, and cloud-native data solutions.
You will work closely with cross-functional teams to deliver high-quality, secure, and scalable data solutions supporting analytics, machine learning, and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize Lakehouse and Medallion architectures.
Develop robust data models ensuring scalability and performance.
Implement data governance, data quality, and data validation frameworks.
Develop and support feature engineering pipelines for ML use cases.
Work with cloud platforms to build and deploy data solutions.
Optimize large-scale data processing workflows for performance and cost efficiency.
Collaborate with data scientists, analysts, and engineers to support business needs.
Implement CI/CD pipelines and automation for data workflows.
Ensure data security, integrity, and compliance standards.
Medallion Architecture
Data Modeling
Preferred Skills
Experience with large-scale distributed data systems
Strong understanding of data warehousing concepts
Experience with workflow orchestration tools
Exposure to real-time data processing
Knowledge of Agile/Scrum methodologies
Experience working with enterprise-grade data platforms
Interested candidates can share their updated resume
Email: nivetha.br@applogiq.org
Contact: +91 9600377933
Work Location: In person