Data Engineer – IT

14 سبتمبر، 2022

0 4 2 دقائق

Data Engineer – IT

الوصف الوظيفي

Roles and Responsibilities

· Conduct meetings to gather business requirements from all functions in order to support managing demand and change management processes

· Identify new technologies, potential hardware, operating systems, and connectivity solutions in order to support the development/update of data architecture

· Build conceptual, logical, and physical data models in order to enable data integration and lifecycle

· Identify data privacy requirements and controls, and develop risk mitigation plans in line with data governance policies to mitigate and decrease potential risk occurrences

· Ensure proper identification and documentation of changes/modifications to solution components in order to secure compatibility of new components with already existing ones.

· Conduct acceptance testing on data components and accordingly assess and resolve strategic level risks

· Identify database technologies operations and instances and monitor performance across data sets

· Assist in the design of new/existing databases as needed.

· Assist with tuning queries for data extraction, management, and manipulation

· Gather feedback from relevant functions and other related stakeholders and accordingly reflect changes and improvements to ensure all data architecture needs are accounted for

· Develop reports to depict data architecture-related activities, highlighting lessons learnt and areas requiring improvement

· Adding custom roles through Active Directory or directly.

· Apply web service security through OWSM or using a wrapper whenever needed.

· Participate in migration & post migration configuration.

· Build data pipelines, Mapping, packages, views, materialized views, and procedures.

المهارات

Qualifications

· Bachelor's degree in computer science, engineering, mathematics or another relevant subject

· 5+ years of experience in Data management and Data modeling

· Expert on SQL and PL/SQL

· Expert on any Data Integration tool for example Oracle Data Integrator & Oracle Enterprise Data Quality.

· Advanced knowledge of data structures and algorithms.

· Ability to work with a myriad of data types (i.e. structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets

· Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL), and optionally NoSQL (MongoDB, JSON Restful APIs).

· Ability to develop the Data Warehouse design,models and architecture.