Posted:1 day ago|
Platform:
Work from Office
Full Time
Digital - Machine Learning, Digital - Artificial Intelligence (AI)
Complete data ingestion, data pipeline, data lineage, data quality, data warehouse, data governance, and data reconciliation.
Must have Data Architect experience and knowledge.
Data Architect with over 10+ years of hands-on experience in designing, developing, and managing large-scale data solutions. Proven expertise in building and optimizing
ETL pipelines. Strong in data preprocessing and enhancing data quality.
Extracting events and processing large datasets (5 billion+ records) within a Spark-Hadoop cluster. Automated data processing tasks for DAAS (Data as a Service) projects, streamlining workflow efficiency.
Configured file and client setups ensuring smooth data integration and delivery.
Managed end-to-end data processing pipelines, enhancing data quality and reducing processing time. Keywords: Data Architect, Data Modelling, Data Quality, HBase, NIFI Spark
Data Engine
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