Inactive
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Fractal Analytics

Enterprise AI solutions for decision making

AWS Engineer and Senior Engineer

Data EngineeringPosted on Jul 9
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field, with technology experience.
  • Three or more years of hands-on experience with AWS services, especially AWS Glue.
  • Strong hands-on experience with AWS Glue, automation build-out, integration with other AWS services, and Spark.
  • Hands-on administration skills with AWS Managed Kafka, including configuring topics and controlling consumers and producers.
  • Working experience with AWS Athena, Glue PySpark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, and Snowflake on AWS.
  • Three to eleven years of experience.

Responsibilities

  • Educate, train, design, and build end-to-end systems for diverse customers.
  • Help organizations understand application architectures and integration approaches, architect advanced cloud-based solutions, and launch the build-out of those systems.
  • Review and decompose an existing Java application for replacement with either a Mule service built by the Mule squad or a Python Lambda service within the Operational Data squad.
  • Work across all phases of the software development lifecycle and apply software engineering principles to build scaled solutions.
  • Contribute to large-scale client business development and delivery engagements.
  • Work with a global team of consulting professionals across multiple projects.

Desired Qualifications

  • Prior Java development experience is ideally suited to this role.

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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