• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• At least 7 years of experience in data engineering or a related field, with a track record of successfully leading teams.
• Strong understanding of data modeling, data warehousing, and ETL processes/data integration[One of the Snowflake].
• Proficiency in programming languages such as Python, Java, or Scala, and experience with data engineering tools such as Apache Spark, Hadoop, and Kafka.
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent communication and collaboration skills with the ability to work with cross-functional teams and stakeholders.
• Strong problem-solving skills and attention to detail.
• Ability to manage multiple priorities in a fast-paced, deadline-driven environment.