Collaborate with search and platform teams to ensure high‑quality indexed data for Coveo sources.
Contribute to CI/CD pipelines and follow enterprise SDLC and security standards.
Produce clear documentation for pipelines, data contracts, and quality rules.
Perform in-depth analysis of search-indexed datasets to identify data quality issues to improve relevance, accuracy, and overall search performance.
Required Qualifications
Strong experience as a Data Engineer working on AWS.
Hands‑on experience building data pipelines using services such as
AWS Glue,BedRock,Lambda, Step Functions, S3, SNS/SQS (or similar)
Proficiency in Python (and/or PySpark) for data engineering and validation logic.
Strong understanding of data quality concepts, frameworks, and best practices.
Experience integrating data from multiple sources (APIs, databases, files).
Solid knowledge of ETL/ELT patterns and data modeling fundamentals.
Experience with logging, monitoring, and alerting for data pipelines.
Familiarity with CI/CD practices and version control (Git).
Preferred / Nice‑to‑Have Skills
Experience working with Coveo (sources, connectors, indexing, ingestion pipelines).
Prior experience supporting search platforms or content indexing pipelines.
Exposure to data quality frameworks or rule‑based validation approaches.
Knowledge of Snowflake.
Experience working in large enterprise or multi‑team environments.
Soft Skills
Strong problem‑solving and debugging skills.
Ability to work cross‑functionally with data, search, and platform teams.
Clear communication of data issues, risks, and remediation plans.
High ownership mindset with attention to detail, especially around data correctness.
Posting Dates
November 15, 2026 - November 21, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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