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Fractal Analytics

Enterprise AI solutions for decision making

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field, with technology experience.
  • At least 2 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 configuration for creating topics and controlling consumers and producers.
  • Ideally, prior Java development experience.
  • Working experience with AWS Athena and Glue PySpark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, and Snowflake on AWS.

Responsibilities

  • Educate and train customers, and design and build end-to-end systems.
  • Help organizations understand application architectures and integration approaches, architect advanced cloud-based solutions, and launch system build-outs.
  • Review and decompose the existing Java application for replacement by either a Mule service built by the Mule squad or a Lambda service in Python within the Operational Data squad.
  • Work across all phases of the software development life cycle and use software engineering principles to build scaled solutions.
  • Contribute to large-scale client business development and delivery engagements.

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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