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Data Engineer – AWS Data Platform

Listing for: DICETEK LLC
Seasonal/Temporary position Listed on 2026-11-07
Job specializations:
  • Software Development
    AWS, Data Engineering
Salary/Wage Range or Industry Benchmark: 250000 - 420000 AED Yearly AED 250000.00 420000.00 YEAR

Job Description & How to Apply Below

Job Location Abu Dhabi (Work From Office)

Job Type Contract

Job Description

Years of Experience
* Required Skills *
  • Strong hands-on experience delivering enterprise-scale data engineering solutions on AWS.
  • Strong development experience with:
  • Python / Py Spark
  • SQL
  • AWS Glue
  • AWS S3
  • Strong experience designing and developing ETL/ELT and data ingestion pipelines.
  • Experience working with:
  • AWS Glue and Glue Catalog
  • Amazon Redshift
  • Amazon Athena
  • AWS Lake Formation
  • Apache Iceberg or similar open table formats
  • Good understanding of:
  • Data lake / lakehouse architecture
  • Data warehousing
  • Dimensional and analytical data modelling
  • Data partitioning and optimisation
  • Metadata management and data lineage
  • Strong understanding of data quality, reconciliation and validation techniques.
  • Experience integrating data from multiple source technologies, such as:
  • Relational databases
  • APIs
  • Streaming/event-based sources
  • Experience troubleshooting complex data and pipeline issues.
  • Good understanding of IAM, security and data-access controls within AWS.
  • Experience with version control and CI/CD using tools such as:
  • Git Hub
  • Jenkins
  • Git Hub Actions
  • Experience working within Agile delivery environments using JIRA and Confluence.
Required Experience / Knowledge Areas *
  • Strong professional experience in Data Engineering and Enterprise Data Platforms.
  • Demonstrable experience delivering production-grade data pipelines in complex enterprise environments.
  • Experience working within Banking or Financial Services strongly preferred.
  • Understanding of data governance, security and regulatory requirements within a controlled enterprise environment.
  • Experience working across the full engineering lifecycle from requirements and source-data analysis through development, testing, deployment and production support.
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