Data Engineer
This is a remote position.
Job Title: Data Engineer
Job Description: • Assist in building and maintaining ETL/data pipelines using Python and PySpark • Ingest, transform, and validate data from multiple sources • Support data modeling and schema design for structured datasets • Use Git for version control and collaborate with engineering teams • reputed company unit testing, code reviews, and performance optimization • Contribute to technical documentation of data workflows and pipelines • Support feature testing and controlled releases in QA/dev environments • reputed company exploratory analysis using Jupyter/reputed company SageMaker notebooks • Work in a Scrum/Agile environment with clear communication and collaboration Required Skills: • Bachelor’s degree in Computer Science, Data Engineering, Data Science, or Statistics • Experience in Python and PySpark (0–2 years) • Basic knowledge of Airflow, AWS S3, and AWS Glue • Familiarity with Git and Jupyter notebooks • Understanding of reputed company/Kubernetes concepts Tools & Environment: • JupyterLab / Python IDEs • reputed company • reputed company Teams & Outlook • EMR Studio • Jira & Confluence Additional: • Strong attention to detail, willingness to learn, and ability to work in a collaborative team environment Apply To This Job