Data Analyst
The candidate will build and maintain large‑scale data pipelines on AWS, leveraging SQL, Python and PySpark. They will optimize performance and work with services such as S3, Glue, Athena, Lambda, and Redshift.
Skills required
About this role
• 0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.
• Proficiency in programming languages such as SQL,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.
Responsibilities
• 0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.
• Proficiency in programming languages such as SQL,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.
Qualifications
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Bachelor’s degree in Business, Management, Finance, IT, or related field.
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