Description

You will design, develop, and manage data integration processes to transform and load data from diverse sources into target systems.

Responsibilities

• Develop and maintain data integration solutions and ETL processes.
• Optimize data integration workflows to ensure data quality and integrity.
• Support business intelligence and analytics through efficient data loading.
• Provide technical guidance to junior developers and participate in agile development.
• Maintain documentation and ensure adherence to data security, privacy, and compliance standards.

Required Skills

• 7-10+ years of experience in data engineering, database design, and ETL processes.
• 5+ years of experience with Python, PySpark, and AWS tools including S3, EMR, Glue, Athena, Redshift, Postgres, RDS, and Lambda.
• 3+ years of experience working with databases and data warehouses.
• Proficiency in Apache Spark and Python for processing large datasets.
• Experience with system integration and CI/CD implementation.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong problem-solving skills and attention to detail.

Key Skills

Education

Bachelor's degree