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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable AWS data pipelines with a focus on batch and near-real-time processing.
Own data quality validation for pipelines including completeness, freshness, consistency, accuracy, and anomaly detection.
Collaborate with search and platform teams to ensure high-quality data ingestion into Coveo and contribute to CI/CD and documentation.
Minimum Requirements
Strong experience as a Data Engineer working on AWS using services like AWS Glue, Lambda, Step Functions, S3, SNS/SQS.
Proficiency in Python and/or PySpark for data engineering and validation tasks.
Solid understanding and hands-on experience with data quality concepts, ETL/ELT patterns, and data modeling.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in supporting enterprise-scale ingestion pipelines in large or multi-team environments.
Familiar with Coveo platform or search/content indexing pipelines, capable of improving search data quality.
Operates with high ownership on data correctness and collaborates effectively across data, search, and platform teams.