Chief Data Infrastructure Specialist

1 day ago

GulshaneIqbal Town, Pakistan beBeeDataEngineer Full time $160,000 - $220,000
About the Role

Fusemachines is a leading AI strategy, talent, and education services provider.



Job Overview

This is a remote full-time position responsible for designing, building, testing, optimizing, and maintaining infrastructure and code required for data integration, storage, processing, pipelines, and analytics. The ideal candidate will have a strong foundation in programming and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.



Responsibilities
  • Design, implement, deploy, test, and maintain highly scalable and efficient data architectures.
  • Ensure scalability, reliability, quality, and performance of data systems.
  • Mentor and guide junior/mid-level data engineers.
  • Collaborate with Product, Engineering, Data Scientists, and Analysts to understand data requirements and develop data solutions.
  • Evaluate and implement new technologies and tools to improve data integration, data processing, and analysis.
  • Design architecture, observability, and testing strategies, and build reliable infrastructure and data pipelines.
  • Take ownership of storage layer, data management tasks, including schema design, indexing, and performance tuning.
  • Swiftly address and resolve complex data engineering issues, incidents, and bottlenecks in SQL queries and database operations.


Requirements
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of real-world data engineering development experience in AWS and GCP (certifications preferred).
  • Strong expertise in Python, SQL, PySpark, and AWS in an Agile environment.
  • Experience in designing and implementing Data Warehousing solutions in AWS with Redshift.
  • Expert in Cloud Computing in AWS, including deep knowledge of various AWS services like Lambda, Kinesis, S3, Lake Formation, EC2, EMR, ECS/ECR, IAM, CloudWatch, etc.
  • Good understanding of Data Quality and Governance, including implementation of data quality checks and monitoring processes.
  • Good understanding of BI solutions including Looker and LookML.
  • Strong knowledge and hands-on experience of DevOps principles, tools, and technologies.

Equal Opportunity Employer

We are committed to providing equal opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected group status.

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