Cloud Engineer
Mindlance
Open to all Onshore Vendors and Cognizant Max Rate of *** Hybrid In Office 3 days a week. Preference to Minneapolis, Denver, Brookfield, Atlanta, and Irving Hub locations Data Lakehouse Platform Engineer Hands-on experience with data lakehouse patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats, metadata-driven ingestion, and analytics-ready data models. Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale. Expertise in real-time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration. Experience with enterprise data governance frameworks, including data lineage, cataloging, business glossaries, and data quality controls. Ensures end-to-end traceability from source to consumption, improving data trust, auditability, and regulatory compliance. Technical Skills (or similar/equivalent): AWS or Azure Data Platform Services, POSTGRES/ORACLE/DB2, COLLIBRA, DATABRICKS, DELTA LAKE, PYTHON, SNOWFLAKE, ETL TOOLS (SPARK, ETC), CI/CD PIPELINES SUPPORTING DATA LAKEHOUSE Shift: [] Start: [] EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans." Mindlance
Vacancy posted 4 days ago
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