Experience with focus on SQL, Python, and data warehousing.
Having solid understanding of data warehousing principles and best practices, combined with proficiency in SQL for writing complex queries, stored procedures and performance tuning.
Proficiency in Python for data manipulation, scripting, and automation and with hands-on experience with AWS data services such as Redshift, Lambda, Glue, S3, etc.
Having Knowledge of machine learning concepts and frameworks and in addition, experience with big data technologies such as Spark, Hadoop, or Kafka and modern reporting software like SSRS & Power BI are preferred.