ETL Data Engineer

Overview :

In the digital age, harnessing the power of data is crucial for business success. We offer a holistic approach that encompasses various aspects of data strategy, roadmap development, and data analytics implementation. Our seasoned professionals will collaborate with you to define an optimal data architecture while ensuring data governance and management practices that guarantee accuracy, reliability, and security.

Now, with the introduction of Generative AI, we empower you to take your data analytics capabilities to new heights. By leveraging advanced algorithms and machine learning, Generative AI enables the creation of valuable insights, predictions, and recommendations that were previously inaccessible. Seamlessly integrated with our Data Analytics Service, Generative AI opens up limitless possibilities for extracting actionable intelligence from your data.

Website : Skills and Qualifications :

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Minimum 5 years of experience in ETL development.
• Proficiency in Snowflake, including design, development, and administration.
• Solid understanding of AWS services such as S3, Redshift, EC2, and Lambda.
• Strong SQL skills, with experience in complex query optimization and performance tuning.
• Experience with data modeling concepts and techniques.
• Proficiency in DBT (Data Build Tool) for data transformation and modeling.
• Extensive experience with version control systems, particularly GitHub, and proficiency in Git workflows and branching strategies.
• Solid understanding of data modeling principles, ETL processes, and data integration methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Proven track record of delivering high-quality solutions on time and within budget.

Regards,

Jahanavi Kaudiki