Live opening · Posted 2 days ago
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Description supplied by the original job listing.
Requirements:
Bachelor's or master's degree in computer science, information technology, engineering, or a related discipline.
6-8 years of professional experience in data engineering or similar roles, with strong exposure to designing and implementing cloud-based data solutions.
Proficiency in Python, SQL, and data workflow orchestration frameworks such as Apache Airflow or comparable tools.
Hands-on experience with AWS services, including S3 AWS Glue, and AWS Lambda.
Strong expertise in Snowflake, with practical experience in data warehouse design, query optimization, performance enhancement, and cost management.
Solid understanding of ETL processes, data integration techniques, and API development.
Ability to optimize and refine data workflows to improve operational efficiency and support changing business needs.
Experience working with business intelligence and visualization platforms such as Tableau, Power BI, or Looker.
Strong analytical and troubleshooting abilities, with a proven track record of resolving complex data-related issues.
Excellent interpersonal, communication, and collaboration skills, with the ability to work effectively across cross-functional teams.
Experience working in Agile Scrum environments, contributing to iterative development and continuous delivery.
Good understanding of data governance, security best practices, privacy standards, and regulatory compliance.
AWS and/or Snowflake certifications are considered an added advantage.
Experience
6-9 yrs
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