
Cloud Data Architect
1 week ago
Job Title: Cloud Data Engineer
Description:
Data Engineering Role- Develop and maintain automated data pipelines to support enterprise data governance and analytics initiatives.
- Create production-ready workflows for ingestion, transformation, quality checks, lineage capture, access auditing, cost usage analysis, retention tracking, and metadata integration using cloud-based platforms.
Main Responsibilities:
Pipeline Development- Design, build, and deploy robust ETL/ELT pipelines in the cloud (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata.
- Implement profiling logic to capture issue-level metadata (source table, column, timestamp, severity, rule type) to support drill-down from dashboards into specific records and enable targeted remediation.
- Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 4+ years of hands-on data engineering experience, with cloud-based platforms.
- Proficiency in PySpark, SQL, and ETL/ELT pipeline design.
- Demonstrated experience building granular data quality checks and integrating governance logic into pipelines.
Benefits:
- Collaborative work environment.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
Candidates must be able to work closely with cross-functional teams, including engineering, QA, and reporting teams. Strong debugging, performance tuning, and problem-solving skills are required. Experience with cloud orchestration tools is a plus.
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