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 ProfileSenior Data Engineer
Job summary
-
No. of Vacancy
: 1 -
Job Type
: Full Time -
Offered Salary
: Negotiable -
Gender
: Both -
Career Level
: Senior Level -
Experience
: 4 Years -
Apply Before
: 2022-04-11 Closed -
Skills
:PythonSQLAWSSpark
Job Description:
- Design and develop high-performance data architectures, which support data warehousing, real-time ETL, and batch big-data processing
- Collaborate with Product, Engineering, Science, Data analysts, and data scientists to implement rich and re-usable datasets/metrics
- Care about architecture, observability, testing, and building reliable infrastructure and pipelines
- Conduct Discovery on existing Data Infrastructure and Proposed Architecture
- Evaluate, design, and implement the data pipelines, data lineage, and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns.
- Data migration (if needed)
- Assess best practices and design a schema that matches business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive)
- Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive
Required Knowledge, Skills, and Abilities:
- Deep knowledge of a variety of AWS services like Lambda, Kinesis, S3, EC2, ECS/ECR, IAM, CloudWatch, Athena, etc
- Experience with big data tools
- Experience with relational SQL and NoSQL databases, including Postgres, MongoDB, ElasticSearch
- Expert knowledge of SQL, Python, and database patterns and practices
- Experience with Spark/PySpark and other streaming data pipelines
- You have strong experience working with Amazon Web Services, certifications preferred
Education + Experience:
- 4+ years of real-world development experience with the big-data platform (AWS required)
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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