Data Engineer: Build Reliable End-to-End Data Pipelines

Salt

Abu Dhabi

On-site

AED 180,000 - 360,000

Full time

2 days ago
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Job summary

Salt in Abu Dhabi is seeking a hands-on Data Engineer for a technology and data opportunity. You will work behind the scenes to make data dependable, accessible, and ready for use, helping move data across systems while supporting quality and reliability.

Key responsibilities include monitoring integrations to keep data flows reliable, onboarding new data sources, validating data quality, designing practical data models, and building automated ETL/ELT pipelines with SQL, Python, APIs, and secure

Qualifications

  • 3+ years in data engineering or related field.
  • Hands-on with SQL and Python; experience with data pipelines.
  • Experience with ETL/ELT concepts, APIs and data integration.
  • Knowledge of data models, validation, quality controls, and troubleshooting.
  • Bachelor's degree in CS/IS/Data Engineering or related field.

Responsibilities

  • Monitor integrations to keep data flows reliable and timely.
  • Bring new data sources into the environment via stable integration.
  • Improve data quality through validation, testing, reconciliation.
  • Design and maintain practical data models for evolving analytics needs.
  • Develop automated data pipelines using ETL/ELT, SQL, Python, APIs.
  • Support deployment processes and maintain technical documentation.

Skills

SQL
Python
Data pipelines
ETL/ELT
APIs
Data quality
Testing
Deployment
Networking basics
Security

Education

Bachelor's degree in CS/IS/Data Eng

Job description

Salt in Abu Dhabi is seeking a hands-on Data Engineer for a technology and data opportunity. You will work behind the scenes to make data dependable, accessible, and ready for use, helping move data across systems while supporting quality and reliability.

Key responsibilities include monitoring integrations to keep data flows reliable, onboarding new data sources, validating data quality, designing practical data models, and building automated ETL/ELT pipelines with SQL, Python, APIs, and secure

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