- Strong SQL & Data Modeling SQL is still the backbone—writing optimized queries and designing efficient data models is essential.
- Python for Data Pipelines Python is widely used for building ETL pipelines, automation, and data processing.
- Cloud Platforms (AWS / Azure / GCP) Most companies work on cloud—knowing services like data lakes, warehouses, and pipelines is a must.
- Big Data Tools Familiarity with tools like Spark, Kafka, and distributed systems helps you handle large-scale data. credo systemz
- ETL & Workflow Orchestration Tools like Airflow or Azure Data Factory are key for scheduling, managing, and automating data workflows.
u/Ashamed_Figure7162 — 17 days ago