Description

You will build and maintain data pipelines and machine learning models within an AWS environment.

This role is on-site.

Responsibilities

• Develop and integrate applications into technical infrastructure and business processes.
• Analyze, design, test, debug, and maintain reliable systems.
• Collaborate with Business Systems Analysts on technical requirements.
• Provide technical guidance to project teams.

Required Skills

• 7+ years of experience in data engineering, data warehousing, and machine learning.
• Proficiency in Python, Spark, PySpark, and APIs.
• Extensive experience building ETL pipelines with AWS Glue, EMR, Kinesis, Kafka, or CloudWatch.
• Hands-on experience with AWS Lambda, Event Bridge, Step Functions, SNS, SQS, S3, and MI models.
• Strong SQL skills including performance tuning in AWS Redshift, MS SQL Server, or Postgres.
• Knowledge of machine learning, deep learning AMIs, and natural language processing (NLP).
• Understanding of IAM Roles and Policies.

Preferred Skills

• Experience with Infrastructure as Code using CloudFormation.
• Experience with CI/CD pipelines and Agile methodologies.

Key Skills

Education

Any Graduate