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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable, secure data pipelines and ETL/ELT processes using Python, SQL, Apache Airflow, and cloud-native technologies (AWS & GCP).
Support cross-functional teams including Enterprise Data Management, Data Science, and Analytics by delivering reliable data products that improve data availability, accuracy, and time-to-insight.
Contribute to cloud modernization efforts, optimize pipeline performance, reduce operational overhead via automation, and uphold data governance and security best practices.
Minimum Requirements
3-4 years of hands-on Data Engineering experience building enterprise-scale data pipelines and data integration solutions.
Strong proficiency in Python and advanced SQL skills required.
Experience with Apache Airflow for workflow orchestration and scheduling mandatory.
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related technical field, or equivalent practical experience.
Ideal Candidate Profile
Experienced in multi-cloud environments, specifically AWS and GCP, with knowledge of cloud-native data services and architecture.
Skilled in designing robust ETL/ELT workflows and data warehousing to support analytics and machine learning initiatives.
Capable of collaborating across cross-functional teams and participating in Agile development and cloud architecture improvement projects.