AWS Data Engineer

Job Description: Data Engineer

Location:

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines and ETL processes.
• Develop and optimize data architectures using AWS services.
• Work with Databricks to manage and process large datasets efficiently.
• Write complex SQL queries to extract, transform, and load data.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Monitor and troubleshoot data pipeline issues to ensure smooth operation.
• Stay updated with the latest industry trends and technologies in data engineering.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in data engineering or a similar role.
• Strong experience with AWS services (e.g., S3, Redshift, Glue, Lambda).
• Proficiency in Databricks and working with large-scale data processing.
• Advanced SQL skills with experience in writing and optimizing complex queries.
• Proficiency in Python for data manipulation and automation.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.