Location: JobParser.Models.Location
Category:
Type: Full-time
Deadline: 23-Nov-17 00:00:00
Salary: Negotiable, plus benefits, including company-wide opinion surveys and referral programs.
Description
Digitain LLC is looking for a specialist to develop and support the products and platforms of Business Intelligence and Analytics, including but not limited to data warehouse, data visualizations and interactive reports. The Data Warehouse Engineer will be responsible for applying Business Intelligence and Analytics subject matter expertise (data modeling, data discovery, BI product offering development and conceptual insurance acumen) to provide the business support departments with the tools and data representations which allow increasing organizational profit and meeting strategic goals.
Responsibilities
- Translate business needs to technical specifications;
- Continuously develop and maintain understanding of the Business;
- Develop intelligence technology and architecture, including data warehousing, dimensional modeling, OLAP functionality, reporting tools, and other methods of information delivery. Create tools to store data (e.g. OLAP cubes);
- Collaborate with teams to integrate systems;
- Administer and maintain the BI Portal, data warehouse, and existing BI solutions;
- Continuously develop expertise in the data and data models within the data warehouse, and understand supported business domains;
- Develop and execute database queries and conduct analyses;
- Create visualizations and reports for requested projects;
- Develop and update technical documentation.
RequiredQualifications
- Bachelor's degree or equivalent education/ experience;
- At least 5 years of work experience;
- Strong understanding of BI concepts and tools;
- Background in data warehouse design (e.g. dimensional modeling) and data mining;
- In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework;
- Good knowledge of T-SQL, MDX queries and Microsoft Services (SSRS, SSIS, SSAS and MDS);
- Background in data warehouse design (dimensional, fact modeling) and data mining;
- In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework;
- Familiarity with BI Technologies (Microsoft Power BI, QlikView);
- Experience with big data tools: Hadoop, Cassandra, Spark, Kafka, etc. is a plus;
- Proven ability to take initiative and be innovative.
Benefits
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