Data Engineer

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop data processing workflows using Python and PySpark.
• Work with Databricks and Snowflake for data storage, transformation, and analytics.
• Integrate data from multiple sources while ensuring data quality and integrity.
• Optimize SQL queries and improve data pipeline performance.
• Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions.
• Monitor, troubleshoot, and maintain data workflows.
• Document data models, pipelines, and technical processes.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Strong proficiency in Python, PySpark, and SQL.
• Hands-on experience with Databricks and Snowflake.
• Good understanding of ETL/ELT pipeline development.
• Familiarity with PyTorch is an added advantage.
• Knowledge of data warehousing concepts and cloud platforms is preferred.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.