Responsibilities

•  Create and maintain optimal data pipeline architecture.
•  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 SQL and AWS ‘big data’ technologies.
• 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 AWS regions.
•  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.

Skills And Qualifications

•  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 question 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.
•   5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• They should also have experience using the following software/tools:

•  Experience with big data tools: Hadoop, Spark, Kafka, etc.
•  Experience with relational SQL and NoSQL databases, including Mysql, 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.

Required Skills

• Java
• C++
• Python
• SQL

Preferred Skills

• Java
• C++
• Python
• SQL

Job Details

• Location Amman - Jordan
• Industry BI/Data
• Job Type Full-Time
• Degree Bachelor
• Experience 5
• Nationality Unspecified