Requirements:

• 3+ years of experience in Data Engineering or related roles.
• Strong expertise in SQL, query optimization, and database performance tuning.
• Proven experience in designing, building, and maintaining ETL/ELT pipelines.
• Hands-on experience with Databricks or similar large-scale data processing platforms.
• Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Proficiency in Python for data processing, scripting, and automation.
• Familiarity with workflow orchestration tools such as Airflow or similar platforms.
• Strong understanding of data modeling, data warehousing, and scalable architecture design.
• Experience handling large datasets and distributed data systems.
• Excellent problem-solving, troubleshooting, and debug...