Senior Data Engineer
Job Overview
- Industry:Information Technology
- Category:IT / Technical / Support
- Minimum Education: Bachelor Degree/ Diploma Course
- Skills:SAS programming skills, BigQuery, Oracle Data Integrator, Postgres, MongoDB, Elastic Search,
- Openings2
- Job LocationKathmandu
- Posted on:June 22,2022
- Apply Before:September 04,2022
- 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)
- 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:
- 5+ years of real-world development experience working with Google Data Products (BigQuery) must have
- Must have SAS programming skills and the ability to implement complex data step logic and SQL
- Must have hands-on experience with Oracle Data Integrator (ODI)
- 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