KEY RESPONSIBILITIES...
● Build and operationalize cloud-based platform components
● Develop production-quality data ingestion pipelines with automated quality checks using GCP and
Astronomer
● Assess existing systems architecture and recommend technical improvements
● Develop Python-based automation to support product development and data analytics
...
data platform engineer.
- posted 1 day ago
- closes 12 march 2026
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see all jobs- Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa
- Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role plaExpertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role pla
- Minimum QualificationsBachelor’s Degree in Computer Science or related field of study or equivalent, relevant work experience5+ years of work experience in related fields (Software Development Life Cycle across Full Stack, Frontend and Backend Development and UI / UX engineering).Preferred Qualifications5+ years of work experience in related fields (Software Development Life Cycle across Full Stack, Frontend and Backend Development and UI / UX engineering)Minimum QualificationsBachelor’s Degree in Computer Science or related field of study or equivalent, relevant work experience5+ years of work experience in related fields (Software Development Life Cycle across Full Stack, Frontend and Backend Development and UI / UX engineering).Preferred Qualifications5+ years of work experience in related fields (Software Development Life Cycle across Full Stack, Frontend and Backend Development and UI / UX engineering)
