We are looking for a skilled Senior Engineer with expertise in ETL Data to join our team in Noida, UP, India. The ideal candidate will have a strong background in data integration and analysis.
Roles and Responsibility
Design and develop scalable ETL pipelines using AWS Glue and other data integration tools.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain large-scale data warehouses using Snowflake and other cloud-based technologies.
Ensure high-quality data validation and quality control processes are in place.
Work closely with business stakeholders to understand their needs and provide solutions.
Optimize and improve existing ETL processes for better performance and efficiency.
Job Requirements
Strong knowledge of Python programming language and its applications in ETL development.
Experience with data warehousing concepts and technologies such as SSIS and DWH.
Familiarity with cloud-based platforms like AWS, including Tensorflow on AWS, Amazon Data Pipeline, and AWS Redshift.
Understanding of data quality validation principles and practices.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time