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About
Design and optimize enterprise-scale data pipelines and integration frameworks for analytics and operational workloads Lead data engineering initiatives, mentoring teams and establishing best practices for coding, CI/CD, and operational support Develop cloud-native data solutions using modern platforms and drive modernization initiatives involving hybrid-cloud architectures
Required qualifications:
10+ years of experience in data engineering, data architecture, or software engineering Expert-level experience with SQL, Python, Snowflake, and enterprise ETL/ELT frameworks Hands-on experience with cloud-native data engineering tools such as AWS Glue, Snowflake, and Kafka Proven experience leading large-scale enterprise data initiatives and mentoring engineering teams Bachelor's or master's degree in computer science, Engineering, Information Systems, Data Science, or related fields
Languages
- English
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