Data Analyst (ETL)

Education: Bachelor’s degree in Computer Science, Information Technology, Management Engineering, Mathematics, Finance, or related technical courses.

Database Management: Deep expertise in core SQL. Familiarity with NoSQL, data modeling, and database design.

Cloud & Big Data Tools: Proficiency in modern cloud data stacks, particularly Microsoft Azure (Azure Data Factory, Azure Databricks, Azure Data Lake).

Programming: Strong coding capabilities in Python or similar scripting languages.

BI & Visualization: Familiarity with data presentation tools like Power BI or Tableau to present complex data to technical and non-technical stakeholders

Hands‑on experience executing data extraction, transformation, validation, and reconciliation activities using SQL and ETL tools.

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Employer questions

Your application will include the following questions:
  • What's your expected monthly basic salary?
  • Which of the following types of qualifications do you have?
  • How many years' experience do you have as a data analyst?
  • How many years' experience do you have using SQL queries?
  • How many years' experience do you have as an ETL Data Warehouse Programmer?
  • Are you willing to work fully on-site?

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