Data Engineer

Key Responsibilities:
Develop, construct, test and maintain architectures
Align architecture with business requirements
Data acquisition
Develop data set processes
Use programming language and tools
Identify ways to improve data reliability, efficiency and quality
Conduct research for industry and business questions
Use large data sets to address business issues
Deploy sophisticated analytics programs, machine learning and statistical methods
Prepare data for predictive and prescriptive modeling
Find hidden patterns using data
Use data to discover tasks that can be automated
Deliver updates to stakeholders based on analytics
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Any ETL Tool.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and Cloud.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Business Knowledge/Technical Skills:
Bachelor of Computer Science or Engineering
2+ Years’ Experience
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.

**Skills**:
For experience Data engineer
For experience Data engineer
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

**Education**:
Bachelor degree of Engineering

**Job Details**:

- Job Location
- Cairo, Egypt
- Job Role
- Information Technology
- Employment Status
- Full time
- Employment Type
- Employee
- Career Level
- Entry Level
- Years of Experience
- Min: 2 Max: 5
- Residence Location
- Cairo, Egypt
- Nationality
- Egypt
- Degree
- Bachelor's degree