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10+ years of overall experience in data engineering and architecture, with at least 5 years as a lead or architect.
Deep expertise in native cloud data services on AWS (e.g., Glue, Redshift, Athena, EMR), Azure (e.g., Synapse, Data Factory, Delta Lake), and GCP (e.g., BigQuery, Dataflow, Pub/Sub).
Strong understanding of data integration, streaming (Kafka, Kinesis, Pub/Sub), and real-time analytics.
Hands-on experience with Databricks and Snowflake including performance optimization, data sharing, and governance features.
Knowledge of emerging trends such as:
Data Lakehouse architecture (Delta Lake, Apache Iceberg)
Data Mesh
Generative AI for data preparation & metadata management
ML-powered data quality and observability tools (e.g., Monte Carlo, Soda, Great Expectations)
Modern catalog and governance platforms (e.g., Unity Cat...
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