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Senior Data Engineer with AI/ML (AWS)

4-10 Years
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Job Description

WE'RE HIRING | Senior Data Engineer with AI/ML (AWS)

Location: Bengaluru, India (Onsite)

Employment Type: Contract

Start: Immediate Joiners Preferred

Are you passionate about building scalable data platforms and enabling AI/ML solutions We're looking for an experienced Senior Data Engineer with AI/ML expertise on AWS to join a high-impact team driving data-driven innovation.

Key Responsibilities

Design and develop scalable batch and real-time data pipelines

Build and maintain Data Lakes & Data Warehouses on AWS

Support AI/ML workflows, including:

  • Data Preparation
  • Feature Engineering
  • Model Deployment

Ensure data quality, governance, performance optimization, and reliability

Collaborate with Data Scientists and ML Engineers for training and inference pipelines

Optimize large-scale data processing using Spark, Python, and SQL

Implement monitoring, logging, and troubleshooting for data pipelines

Develop insightful dashboards and reporting solutions using Power BI

Required Skills

Strong experience in Data Engineering concepts and best practices

Hands-on expertise with AWS Services:

  • S3
  • Glue
  • EMR
  • Redshift
  • Lambda

Experience supporting AI/ML pipelines and feature engineering workflows

Strong proficiency in Python, SQL, and Apache Spark

Knowledge of Data Modeling, ETL/ELT, and Data Warehousing concepts

Power BI expertise:

  • Dashboard Development
  • Data Visualization
  • DAX
  • Enterprise Data Source Integration

Excellent analytical and problem-solving skills

Preferred Skills

⭐ AWS SageMaker experience

⭐ Kafka or Kinesis for real-time streaming

⭐ MLOps and CI/CD for ML pipelines

⭐ Power BI integration with cloud-based data platforms and large-scale datasets

Ideal Candidate

Strong AWS Data Engineering background

Experience supporting AI/ML initiatives

Expertise in scalable data architectures and analytics solutions

Ability to work effectively in a fast-paced, collaborative environment

Interested candidates can share their updated resume with contact details.

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Job ID: 149020173