Job title: Data Engineer
Job type: Permanent
Emp type: Full-time
Salary type: Monthly
Salary: 25,000.00 AED
Location: Dubai
Job published: 2021-09-13
Job ID: 32128
Contact name: Katie Atkins
Contact email: katie@pinkcamel.ae

Job Description

Data Engineer needed for a leading app-based company in Dubai on a permanent basis.

Location – Dubai, UAE

Salary 25,000 AED/month + benefits

 

Skills and experience

  • 5+ years of experience in a Data Engineer
  • 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 datadata 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.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • 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, JavaScript etc

Key Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • 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 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, Development and Design teams to assist with data-related technical issues and support their data infrastructure needs.