Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 4-6 years of hands-on experience in data engineering or related roles, with specialized experience in data engineering tasks on cloud platforms.
• Strong programming skills in Python, SQL, and one or more data pipeline orchestration tools (e.g., Apache Airflow).
• Expertise in AWS services (e.g., S3, Glue, Lambda).
• Extensive experience with Snowflake, including data warehousing, performance tuning, and cost optimization.
• Proficiency in ETL tools, data integration, and API development.
• Capable of adapting workflows and processes to enhance efficiency and meet evolving project requirements.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Exceptional problem-solving skills and ability to handle complex data challenges.
• Excellent communication and collaboration skills, with experience working in cross-functional teams.
• Demonstrated experience working within Agile Scrum frameworks to deliver iterative and incremental value.
• Strong understanding of data security, privacy regulations, and compliance.
• Certifications in AWS or Snowflake are a plus.