Lead AIML Data Engineer

Job Requirements Data Engineer AI/ML Advanced Analytics

Position Summary

We are seeking a highly skilled Data Engineer to support enterprise AI/ML and Advanced Analytics initiatives by building scalable, reliable, and high-performance data platforms and pipelines

This role will focus on designing and engineering modern data solutions that enable machine learning, advanced analytics, and AI-driven decision making The ideal candidate has strong expertise in data architecture, cloud platforms, large-scale data processing, and data engineering best practices

Key Responsibilities

Design, develop, and maintain scalable data pipelines supporting AI/ML and analytics workloads

Build and optimize batch and real-time data ingestion frameworks

Develop data integration solutions across multiple internal and external data sources

Implement data transformation, cleansing, enrichment, and validation processes

Design and maintain modern data lake, lakehouse, and data warehouse architectures

Ensure data quality, integrity, security, and governance standards are met

Optimize data processing performance, scalability, and operational efficiency

Required Qualifications Strong proficiency in Python, SQL, Spark, Scala, or equivalent technologies

Experience building cloud-native data solutions using Azure, AWS, or GCP

Experience with ETL/ELT frameworks and large-scale data processing

Knowledge of distributed data processing technologies and modern data architectures

Experience with data lake, warehouse, and lakehouse platforms

Understanding of data governance, security, and data quality practices

Strong collaboration and problem-solving skills

Preferred Qualifications Experience supporting AI/ML platforms and Data Science workloads

Familiarity with feature stores, MLOps and model deployment pipelines

Key Competencies

Data Engineering Excellence

Build scalable, reliable, and high-performance data solutions

Cloud & Modern Data Platforms

Design and optimize cloud-native architectures supporting AI and analytics

Data Pipeline Development

Develop robust ingestion, transformation, and orchestration frameworks

AI/ML Enablement

Operational Excellence

The ideal candidate

Builds scalable data ecosystems that power analytics and AI initiatives

Ensures data is accessible, trusted, and ready for advanced analytics

Partners effectively with Data Scientists, Architects, and Product teams

Work Experience 5-7Years