Senior Data Engineer

1 week ago


المملكة العربية السعودية, Saudi Arabia Talent Pal Full time
We are looking for Senior Data engineers to join our fast-growing analytics and AI team, you will be responsible for designing and optimizing data pipeline architecture as well as optimizing data flow and collection for cross functional teams

  • Technologies
  • Python (fastapi, cython, scipy, Scikitlearn, Seaborn )
  • Spark(Pyspark or Scala)
  • Big data Tools
  • Databases (SQL,NoSQL) Data warehouse
  • Responsibilities
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data sources, volume and complexity.
  • Data manipulation and cleansing
  • Operate and optimize AI solutions
  • Act as focal point between AI Software Engineering and Data sources
  • Data Modelling and Platforming for analytics
  • Develop, construct, test and maintain architectures
  • Align architecture with business requirements
  • 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 Remaining uptodate with industry standards and technological advancements that will improve the quality of your outputs.
  • Job Requirements
  • BSc or Advanced degree in Data Science, Data Engineering, Statistics, Computer Science, or similar.
  • Master Degree in a related field is a plus
  • At least 35 years of experience in a similar position or in a Data engineering Role
  • Experience With a Big Data & Hadoop Ecosystem, with experience in data profiling and transformations
  • Experience with PySpark core, or PySpark SQL, and PySpark Dataframe
  • Experience with core Java (and/or Scala, Python)
  • Experience with NoSQL databases such as HBase, Cassandra, or MongoDB
  • Experience with SQL databases
  • Proficient in designing efficient and robust ETL/ELT workflows, schedulers, and eventbased triggers
  • Strong critical thinking, decision making, and problemsolving skills
  • Excellent verbal/written communication skills, including communicating technical issues to nontechnical audiences
  • Exposure to Spark Streaming and Machine Learning
  • Exposure to Data Mining, Data Engineering, and Data Modeling
  • Exposure to Graph Databases


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