Job Description

Job description:


  • 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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