Fusemachines is an enterprise AI services, education and solutions provider on a mission to democratize AI. Headquartered in New York with operations across North and Latin America and Asia, Fusemachines brings together engineers and PhDs from around the world to help companies build innovative AI solutions. With a Nepal based head office in Kathmandu, Fusemachines offers advanced AI products such as Fuse Classroom, Fus ... e Extract. Fusemachines AI Schools run AI Microdegree and Certificate programs in physical classrooms as well as online live classes using its proprietary content and learning platform.
View Company ProfileData Engineer
Job summary
-
No. of Vacancy
: 1 -
Job Type
: Full Time -
Offered Salary
: Negotiable -
Gender
: Both -
Career Level
: Mid Level -
Experience
: 2-3 Years -
Apply Before
: 2022-07-20 Closed -
Skills
:JavaSQLSpark
Job Description:
- 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.
Required Knowledge, Skills, and Abilities:
- 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
Education + Experience:
- Bachelor’s degree in Computer Science, Engineering, a related field
- 2-3 years of work experience in the field of data engineering
Apply Instruction:
Interested candidates fulfilling the mentioned criteria are encouraged to Apply using the Easy Apply Button below. Registered candidates may also apply using Apply Now Button
Job Action
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