Senior Data Engineer

• Strong proficiency in Python (Pandas, NumPy)
• Extensive experience with ETL processes and data warehousing
• Solid SQL skills and experience with relational databases
• Hands-on experience with big data technologies (Hadoop, Spark, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP)