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Fractal Analytics

Enterprise AI solutions for decision making

GCP Engineer

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

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field is required.
  • At least 5 years of experience in software development is required.
  • At least 3 years of experience in Data Engineering projects, GCP, Python programming, SQL/PL SQL scripting, and Data Warehouse/ETL is required.
  • The candidate must be able to build streaming and batch solutions.
  • The candidate must have exposure to project management tools such as JIRA, Confluence, and GIT.
  • The candidate must be able to define, create, test, and execute operations procedures.
  • The candidate must understand real-time streaming concepts, message queues such as Kafka, RabbitMQ, and Pub/Sub, and fast data caching systems such as Redis and Memory Store.
  • The candidate must have hands-on experience with Dataflow/Apache Beam custom templates, Composer, BigQuery, and Pub/Sub.
  • The candidate must have hands-on experience developing modular Java code involving design patterns such as Factory and Reflection.
  • The candidate must have strong problem-solving and analytical skills and good communication skills.

Responsibilities

  • Be an integral part of large-scale client business development and delivery engagements by understanding business requirements.
  • Engineer ingestion and processing pipelines on GCP using Python libraries, Java, BigQuery, and Composer.
  • Automate repeatable tasks into a framework that can be reused in other parts of projects.
  • Handle data quality, governance, and reconciliation during development phases.
  • Communicate with internal and external customers and develop communication and client-facing skills.
  • Understand and contribute to agile ceremonies to ensure delivery efficiency.

Desired Qualifications

  • GCP Professional Data Engineer certification is an added advantage.
  • Understanding of Terraform scripts.
  • Understanding of DevOps pipelines.
  • Knowledge of Identity and Access Management and authentication protocols.
  • Experience with Google Drive APIs and OneDrive APIs.

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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