Data Engineer

We are seeking an experienced AWS Data Engineer to join our team. The ideal candidate will have 4 - 6 years of experience in data engineering, with strong expertise in AWS services. You will be responsible for designing, implementing, and maintaining scalable data pipelines, optimizing data architectures, and ensuring the efficient storage and retrieval of data to support our business needs.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS services (e.g., AWS Glue, AWS Lambda, AWS S3, EMR, Redshift, etc.).
• Proficiency in SQL, Python, or other scripting languages.
• Experience with ETL/ELT tools and techniques, data warehousing concepts, and data modelling
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
• Implement and manage data warehousing solutions, ensuring high data quality, performance, and reliability.
• Optimize data architectures and workflows to enhance performance and reduce costs.
• Develop and enforce best practices for data management, including data governance, security, and privacy.
• Work with cross-functional teams to design and implement data models that support analytics and reporting.
• Monitor, troubleshoot, and resolve data pipeline issues to ensure smooth operations.
• Utilize automation tools and techniques to enhance data processing and improve efficiency.
• Perform data validation, cleansing, and transformation tasks as required