Description
Requirements: 5 years in data architecture/data engineering, with at least 2 years in an architect or lead capacity. Strong SQL: advanced query optimisation, indexing, partitioning strategies. Data modeling dimensional modelling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design.
Cloud data platforms: hands-on with AWS (Redshift, S3 Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow). Big data ecosystems: Spark, Hadoop, or Kafka for large-…
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