Vacancy expired!
QUALIFICATIONS:
The ideal candidate will have a B.S. degree in Computer Science / Engineering with a minimum of 3 years of experience or High school diploma or GED and 5 years of experience with data management platforms, data warehousing technologies, business intelligence technologies, advanced analytics technologies, reporting tools, and experience with one or more ETL tools.Experience:- Strong expertise Microsoft SQL Server and TSQL
- Strong expertise Microsoft SQL Server Integration Services
- Experience with extract-transform-load (ETL) Tools like Informatica or WherescapeRed
- Experience working with and supporting Data Virtualization and Data Visualization tools
- Exposure to SQL on Hadoop technologies such as Spark, Hive, Impala or Presto.
- Knowledge of NoSQL technologies such as ElasticSearch or Cassandra.
- Knowledge of Graph database technologies like Neo4j
- Experience working with large and complex data sets with multi-terabyte scale
- Knowledge of Agile and DataOps
- Extract and manipulate data from multiple data sources and tools and integrate them into a data set or structure.
- Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and abstract up from low-level information to a more general understanding.
- Work with business customers understanding both stated and unstated requirements.
- Augment Business requirements with technical requirements for assigned projects
- Elicit, organizing, translating and simplifying requirements.
- Ensuring accurate, complete and timeliness of data , alerting and resolution of inconsistent or incomplete data sources.
- Monitor system performance, implement changes to optimize performance.
- Have strong written and verbal communication skills.
- Agile team member using Secure Software Development Life Cycle (SSDLC) and Data Development Life Cycle (DDLC) methodologies.
Vacancy expired!