SAS-Data Engineer

at Fusemachines Kathmandu
  • Salary:As per company policy
  • Experience:5
  • Type:Full Time
  • Job Level:Senior Level
  • Views: 353 views

Job Overview

  • Industry:Information Technology
  • Category:Consultant
  • Minimum Education: Bachelor Degree in Computer Science
  • Skills:Big data tool, Relational SQL and NoSQL databases including Postgres, MongoDB, Elastic Search
  • Openings1
  • Job LocationKathmandu
  • Posted on:November 09,2022
  • Apply Before:November 30,2022

Job Type: 

This is a remote, full-time consulting position 

Role Scope: 

  • 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 of 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) 
  • Reviewing plans created by other developers to ensure they meet industry standards and best practices 
  • 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 

Requirements for the role: 

  • Must-Have: 5+ years of real-world development experience working with Google Data Products (BigQuery) and SAS 
  • 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 
  • Nice to have experience in Azure and SAP 

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Differences make us better.