AWS Data Engineer

2 weeks ago

Chennai, India RELX India (Pvt) Ltd L&P div Company Full time
About the role
The role in focus involves designing and implementing robust data pipelines utilizing AWS, Python, and SQL to underpin product analytics and decision-making. As a data engineer, you'll ensure the integrity and performance of data processing and storage systems, optimize data flows within AWS for enhanced performance, and develop efficient ETL processes and APIs. Collaboration with cross-functional teams will be crucial to gather and address technical requirements, while ongoing responsibilities include maintaining and enhancing data models, troubleshooting data issues, and documenting all procedures for future reference and compliance. This role demands a proactive approach to integrating new technologies and continuous improvement of systems to support the data management team in both daily operations and strategic projects.
Responsibilities
• Design and implement robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making processes.
• Ensure data integrity and performance of data processing and storage systems.
• Optimize data flows and architecture within AWS to enhance performance and scalability.
• Develop and maintain scalable and efficient ETL processes and APIs for data interaction.
• Collaborate with cross-functional teams to gather and address technical and design requirements.
• Maintain and enhance data models and databases to support new and existing products.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Continuously improve systems and processes by integrating new tools and technologies.
• Document all data engineering procedures and solutions for future reference and compliance.
• Support data management team in daily operations and long-term projects
Requirements:
Expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.
• Proficiency in Python, with a good understanding of libraries for data engineering such as Pandas and PySpark.
• Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
• Familiarity with orchestration tools like Airflow and data integration techniques.
• Understanding of data warehousing solutions and ETL processes.
• Knowledge of data modeling and database design.
• Ability to write clean, maintainable code, adhering to best practices in code quality and security.
• Experience with CI/CD pipelines for data operations in an AWS environment is a plus.
• Good grasp of Agile methodologies and project management practices.
QUALIFICATIONS:
• Minimum of 3 years of experience in data engineering or a related field.
• Strong proficiency in building and maintaining data pipelines in AWS environments.
• Experience with Python for scripting and data manipulation.
• Advanced SQL knowledge for complex querying and database interaction.
• Bachelor’s degree in computer science, Engineering, or a related field is preferred; equivalent practical experience is also considered.
• Demonstrated ability to design and implement effective data solutions in cloud environments.

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