Data Engineer

• Design data architecture → Create databases, data lakes, warehouses
• Transform data (ETL/ELT) → Clean and structure raw data
• Ensure data quality → Accuracy, consistency, reliability
• Optimize performance → Handle large-scale (big data) efficiently

🛠️ Tools & Technologies

🔹 Programming

• Python
• SQL (very important)
• Java / Scala (optional)

🔹 Data Tools

• Apache Spark
• Hadoop
• Kafka

🔹 Databases

• MySQL, PostgreSQL
• MongoDB
• Data warehouses (Snowflake, BigQuery)

🔹 Cloud Platforms

• AWS (S3, Redshift)
• Azure
• Google Cloud

🔹 ETL Tools

• Apache Airflow
• dbt

🧠 Key Skills

• Strong SQL & data modeling