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Data Engineer

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Responsibilities

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• Develop and deploy a data integration and optimization process for the ETL process 
  from various sources for efficient data extraction, transformation, and loading in the 
  big data pipeline.

• Customize and manage integration tools, databases, warehouses, and analytical 
  systems.

• Ensure data quality and measure accuracy, completeness, and consistency in the data preparation process.

• Collaborate with data team and business stakeholders to understand data 
  requirements and deliver solutions that meet business objectives and timelines.

 

Qualifications

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• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

• 0-2 years of working experience in big data technologies and their ecosystems.

• Familiarity Programming skills in languages such as Python, SQL, or others.

• Basic understanding of ETL processes and data transformation techniques.

• Basic understanding of data modeling concepts and database management systems.

• Be able to use cloud computing services regarding Data Engineering workload such as AWS, Azure, and GCP and Databricks.

• Be able to work collaboratively in a team environment, sharing insights and collaborating on projects.

• Be able to clarify complex concepts in simple terms.

• Good command of English.

• Professional certification is a plus.

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