
SAS-Data Engineer
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.