Data Engineer
This junior data engineer role at EXL focuses on building and optimizing large-scale data pipelines using Python and PySpark, with a strong emphasis on AWS services like S3, Glue, and Redshift. The position requires hands-on experience in problem-solving and performance tuning for data processing workflows in a Jersey City office setting.
Skills required
About this role
Key Requirements
• 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.
Responsibilities
Key Requirements
• 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.
Qualifications
Key Requirements
- Bachelor’s degree in Engineering, Data Science IT, or related field.
- 0–2 years of experience or recent graduate.
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