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Data Engineer

Discussion

0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.

• Proficiency in programming languages such as Python and PySpark.

• Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).

• Strong problem-solving and performance optimization skills.

0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.

• Proficiency in programming languages such as Python and PySpark.

• Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).

• Strong problem-solving and performance optimization skills.

Bachelor’s degree in Engineering, Finance, IT, or related field.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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