Data Engineer

2 weeks ago

Jeddah, Makkah Province, Saudi Arabia Salla Full time

Responsibilities

  • Build and maintain the Data Warehouse (DW) to store both structured and non
- structured data; and make it optimized for reading, aggregating, and querying large volumes of data.

  • Create and maintain optimal data pipeline architecture.
  • Build the data pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
  • Develop different components of the data management framework, including the Data Definitions for all data and the Metadata for data transformation/processing description.
  • Assemble large, complex data sets that meet functional/nonfunctional business requirements.
  • Work with stakeholders including the Executive, Product and Data Science teams to assist with datarelated technical issues and support their data infrastructure needs.
  • Prepare data for prescriptive and predictive modeling by the Data Science team to build and optimize our products and services.
  • Create data tools for data analysts that assist them in build reports, dashboards and extract useful business insights.
  • Assist in building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Keep our data separated and secure through multiple data centers.
  • Work closely with quality assurance team to enhance data quality and reliability.
  • Keep up to date with latest trends and technologies in data engineering and processing field.

Requirements:

  • A minimum of 46 years of work experience in a similar role
  • Strong project management and organizational skills.
  • Bachelor's degree in Computer Science/Engineering or any other relevant field.
  • Advanced working SQL knowledge and experience working with relational and NoSQL databases.
  • Experience in building and optimizing 'big data' data pipelines, architectures and data sets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift, etc.
  • Experience with streamprocessing systems: Storm, Spark-Streaming, etc.
  • Experience with objectoriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • A successful history of manipulating, processing and extracting value from largedisconnected datasets.
  • Experience supporting and working with crossfunctional teams in a dynamic environment.
  • Strong analytical and problemsolving skills.

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