E Solutions
Senior Data Engineer (AI Data Platforms & Automation)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
4 September 2026
What they need
We are looking for an experienced and hands-on Senior Data Engineer to build scalable data platforms and AI-ready data pipelines. The ideal candidate will be responsible for designing data architectures, metadata frameworks, ETL pipelines, and automation that support AI and data initiatives across the organization.
Key Responsibilities
Data Engineering
Design and develop scalable ETL/ELT pipelines.
Build robust data ingestion frameworks.
Design enterprise data models.
Implement data transformation and validation processes.
Optimize data storage and retrieval.
AI Data Platforms
Build AI-ready datasets.
Design metadata frameworks and taxonomies.
Develop dataset versioning strategies.
Manage structured and unstructured datasets.
Support AI model training and evaluation pipelines.
Data Quality & Governance
Implement data quality checks.
Build validation and monitoring frameworks.
Define data standards and best practices.
Ensure data integrity and consistency.
Develop documentation and data lineage.
Automation
Automate repetitive data workflows.
Build Python-based automation tools.
Develop integrations with internal and external systems.
Create dashboards and monitoring utilities.
Platform Engineering
Work with SQL and NoSQL databases.
Optimize database performance.
Manage cloud-based data platforms.
Support scalable enterprise data architecture.
Required Technical Skills
Programming
Python (Expert)
SQL (Expert)
PySpark (Preferred)
Databases
PostgreSQL
MySQL
MongoDB
BigQuery / Snowflake
Vector databases (Preferred)
Data Engineering
ETL/ELT Development
Data Warehousing
Data Modeling
Metadata Management
Data Quality Frameworks
Cloud
Google Cloud Platform or AWS
Cloud Storage
BigQuery / Redshift
Airflow (Preferred)
Tools
Docker
Git
CI/CD
API Integration
Preferred Experience
AI data platforms
Metadata management
Dataset curation
Workflow automation
Enterprise data engineering
Cloud-native data platforms
AI data preparation
Interested candidates can share resume at [email protected] or call at 8595125050
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