Senior Data Engineer | Azure Data Platform & ETL Expert

Dicetek LLC

Dubai

On-site

AED 240,000 - 360,000

Full time

14 days+

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Job summary

Dicetek LLC in Dubai seeks a data engineer to design and implement robust data pipelines from diverse sources to storage, optimizing ingestion and transformation for real-time analytics.

You will collaborate with data scientists to translate requirements into technical specs, and ensure data quality with automated validation and monitoring systems. A 4+ year track record and Azure Data Factory/Databricks expertise are essential.

Qualifications

  • Bachelor's degree in Computer Science, IT, Data Engineering or related field.
  • 4+ years in Data Engineering, Data Integration and Cloud Data Platforms.
  • Strong Azure data platform expertise and SQL development skills.
  • Experience with data modeling and data warehousing concepts.
  • Proven ability to integrate multiple systems via REST APIs and file protocols.

Responsibilities

  • Design and implement robust data pipelines for diverse sources to data storage.
  • Optimize data ingestion and transformation for real-time analytics.
  • Collaborate with data scientists to translate requirements into technical specs.
  • Ensure data quality with automated validation and monitoring systems.

Skills

Azure Data Factory
Azure Databricks
Azure Data Lake Storage Gen2
Azure Synapse Analytics
Delta Lake
Python
PySpark
SQL development
REST APIs
SHIR (Self-Hosted Integration Runtime)

Education

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field

Tools

Databricks Medallion Architecture
Delta Lake implementation
Storage Accounts

Job description

Dicetek LLC in Dubai seeks a data engineer to design and implement robust data pipelines from diverse sources to storage, optimizing ingestion and transformation for real-time analytics.

You will collaborate with data scientists to translate requirements into technical specs, and ensure data quality with automated validation and monitoring systems. A 4+ year track record and Azure Data Factory/Databricks expertise are essential.

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