Data Engineer

22 hours ago

Pakistan TenX Full time 500,000 - 1,500,000 per year
1. JOB SUMMARY:
Data Engineers are responsible for designing and creating the data warehouse and all related extraction, transformation, and load of data functions. He should be able to analyze and digest what a business wants to accomplish with its data, and design the best possible ETL/BI process around those goals.

2. DESCRIPTION:

Data Warehouse /ETL
- Participates in developing the Data Models and Data Marts that comes from various source systems.
- Using the data flow design, develops and maintains the ETL scripts that acquire data from various source systems to load information into the Staging Area, the Data Warehouse and Data Marts.
- Identifies and develops opportunities to utilize objects and code where appropriate to reduce development effort and enforce consistent business rules.
- Identifies opportunities for analysis and reporting solutions within the company.
- Participates in evaluation and selection of Data Modeling, BI and DW tools.
Business Intelligence
- Translates business requirements into technical Data Models and Data Marts.
- Understands key business drivers.
- Contributes to the overall development of the BI initiative within the company.
- Provides input and feedback to the vision of the overall BI Strategy.
- Communicates BI strategy and concepts to other business users.
Reporting & Drafting
- Clearly documents all development to company standards.
- Works in a small team environment and supports team members where needed.
- Assists in establishing new standards and processes for BI data modeling.
- Clearly communicates task status, progress and problems to project lead.
JOB SPECIFICATIONS
Qualifications
Minimally Required
Preferred or Specialized
Education
BS in Computer Science, BIT, BBIT or related field
MS in Computer Science
Experience
1 Years
2-3 Years
Knowledge
Good understanding of
Data Warehousing
Concepts
Learning new technologies
Skills
RDBMS SQL
Abilities
Analytical Organizing Problem Solving
Tools and Implementation Platforms
Talend, IBM Infosphere Datastage, Informatic, SSIS
Big Data methodologies, Hadoop, Cloudera, Talend for big data, Etc.
Databases
MS SQL Server, PostgreSQ, Vertica, IBM DB2, Teradata, MySql, Oracle
Hbase, MongoDb

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