Skills- Cloud Environments Familiarity with major cloud platforms (AWS, GCP, Azure) Data Architecture Experience with modern data architectures (data lakes, lakehouses, hubs) Data Ingestion Proficiency in ingestion tools (Kafka, AWS Glue) and formats (Iceberg, Parquet) Data Streaming Knowledge of streaming architectures and tools (Kafka, Flink) Data Modeling Strong background in SQL-based frameworks and orchestration tools (dbt, Glue, Airflow). Experience with SCD and schema evolution Data Transformation (Spark) Familiarity with Spark for transformation, streaming, tuning, debugging with Spark UI Programming Proficient in Python, Java, Scala (or similar). Expert-level SQL DevOps Demonstrated experience in DevOps practices (code management, CI/CD, deployment) Data Governance Understanding of governance principles (quality, privacy, security)