Data Engineer

Kathmandu, Nepal
Full Time
Asia Technology
Experienced

  

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Qualification and Experience

  • Bachelor’s degree in Computer Science, Engineering, a related field
  • 2-3 years of work experience in the field of data engineering

Required skills/Competencies

  • Experience working with relational databases and SQL. Knowledge of NoSQL Databases is preferred
  • Proficient in any of the programming languages - Python, Scala or Java
  • Knowledge of AWS services such as Lamba function, EC2 instance, glue job, Athena, cloud watch is highly preferred
  • Experience with data analysis and data manipulation tools such as pandas
  • Understanding of data warehousing concepts
  • Preferred experience with distributed data processing such as Spark

Key Responsibilities

  • Collaborate closely with data architects, data analysts, and senior data engineers to design and develop data pipelines
  • Design and develop Enterprise Data Warehouse
  • Develop programs in scala, java, or python for data cleaning and processing
  • Responsible to ingest data from multiple sources including files, streams, and databases and process them accordingly. 
  • Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Spark and Cloud Computing Services
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

 

Equal Opportunity Employer: 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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