Data Engineering

3 weeks ago

Dubai, United Arab Emirates PepsiCo Full time

Qualifications

  • 9+ years of overall technologyexperience that includes at least 3+ years of hands-on softwaredevelopment, data engineering, and systemsarchitecture.
  • 3+ years of experience withSalesforce Cloud Technologies is must.
  • 3+ yearsof experience with Sales force Customer data modeling, datawarehousing, and building high-volume ETL/ELTpipelines.
  • 3+ years of experience with DataLake Infrastructure, Data Warehousing, and Data Analyticstools.
  • 3+ years of experience in SQLoptimization and performance tuning, and development experience inprogramming languages like Python, PySpark, Scalaetc.).
  • 2+ years in cloud data engineeringexperience in Azure.
  • Fluent with Azure cloudservices. Azure Certification is aplus.
  • Experience with integration of multicloud services with on-premisestechnologies.
  • Experience with data modeling,data warehousing, and building high-volume ETL/ELTpipelines.
  • Experience with data profiling anddata quality tools like Apache Griffin, Deequ, and GreatExpectations.
  • Experience building/operatinghighly available, distributed systems of data extraction,ingestion, and processing of large datasets.
  • Experience with at least one MPP databasetechnology such as Redshift, Synapse orSnowFlake.
  • Experience with running and scalingapplications on the cloud infrastructure and containerized serviceslike Kubernetes.
  • Experience with versioncontrol systems like Github and deployment & CItools.
  • Experience with Azure Data Factory,Azure Databricks and Azure Machine learning tools is aplus.
  • Experience with Statistical/ML techniquesis a plus.
  • Experience with building solutionsin the retail or in the supply chain space is aplus
  • Understanding of metadata management, datalineage, and data glossaries is a plus.
  • Workingknowledge of agile development, including DevOps and DataOpsconcepts.
  • Familiarity with businessintelligence tools (such as PowerBI).
  • BA/BS inComputer Science, Math, Physics, or other technicalfields

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