Data Analysts/Architects
The Data Architect is responsible for the overall design and the approach to designing both the logical and the physical data architecture of the data warehouse and data lake. The data architect should have a broad understanding of data warehousing, ETL and Hadoop, and is responsible for providing technical leadership to the implementation teams.
Location: Bonifacio Global City, Taguig City
Status: Urgent
# of Positions Available: 10
Job Description
- Responsible for designing the logical data models.
- Responsible for creating the physical data models.
- Provides the optimization strategy for the existing data models.
- Reviews the deliverables to ensure completeness and correctness against the business requirement.
- Ensures that the physical design meets the standards set by the Data Architecture team.
- Works with other Data Architects in developing data solutions.
- Guides and provides inputs to the Solution Architects on the implementation of different BI solutions.
- Builds source system knowledge that can help determine the best source for a particular information
- Provides a source to target mapping for reports, extractions, and other analytical requirements.
- Other job-related activities that may be assigned from time to time.
Job Qualifications/Requirements
Education
- Graduate of Bachelor’s Degree preferably Information Technology or Computer Science.
Related Work Experience
- 6+ years of experience in data architecture-related work.
- Must have experience in designing and/or developing a mid - large scale data warehouse or data lake.
- Experience in implementing various relational or NoSQL databases or Hadoop technologies. (e.g. Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase).
- Experienced in either Reporting or ETL is required.
Knowledge
- Knowledgeable on the following: SDLC with emphasis on design phase or any other Agile methodologies Data warehousing implementation using MPP databases.
- Knowledgeable on both 3NF and Star Schema model implementation.
- Knowledgeable of various Hadoop implementation strategies.
- Knowledgeable on SDLC with emphasis on design phase or any other Agile methodologies
Skills
- Must have the ability to communicate effectively.
- Must have the ability to work independently with minimal supervision or with a team depending on the scenario.