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Data Engineer: Big Data Pipelines, ETL & Analytics

Bybit

United Arab Emirates

On-site

AED 120,000 - 180,000

Full time

Today
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Job summary

A leading cryptocurrency exchange is seeking a Data Engineer responsible for designing and maintaining data pipelines and warehouses using technologies like Hive, Spark, and Presto. The candidate will collaborate with business units to tailor data solutions, ensuring the integrity of ETL processes while optimizing data workflows. A degree in a relevant field and at least 3 years of experience in data engineering are essential, alongside strong programming skills in Python. This role offers an exciting opportunity in the rapidly evolving crypto industry.

Qualifications

  • Bachelor’s degree or higher in Computer Science, IT, Data Science, or related.
  • At least 3 years of experience in big data engineering.
  • Proficient in Hive, Spark, and Presto for data processing and analysis.
  • Strong ETL development experience.
  • Proficiency in data visualization tools such as Tableau or Power BI.

Responsibilities

  • Design, construct, and maintain data pipelines and warehouses.
  • Utilize Hive, Spark, and Presto for big data processing.
  • Develop and ensure integrity of ETL processes.
  • Collaborate to understand data requirements.
  • Build resilient data architecture.
  • Optimize data processing workflows.
  • Support dashboard development requirements.

Skills

Data Pipeline Management
Big Data Processing
ETL Development
Data Visualization (Tableau, Power BI)
Python Programming

Education

Bachelor’s degree in Computer Science, IT, Data Science or related

Tools

Hive
Spark
Presto
Docker
Kubernetes
Bash scripting
Tableau
Power BI
Job description
A leading cryptocurrency exchange is seeking a Data Engineer responsible for designing and maintaining data pipelines and warehouses using technologies like Hive, Spark, and Presto. The candidate will collaborate with business units to tailor data solutions, ensuring the integrity of ETL processes while optimizing data workflows. A degree in a relevant field and at least 3 years of experience in data engineering are essential, alongside strong programming skills in Python. This role offers an exciting opportunity in the rapidly evolving crypto industry.
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