Senior Data Engineer

Requirements:

• Extensive development experience working with Snowflake Data Warehouse (familiarity with other data warehouse technologies is an advantage)
• You are well versed in the AWS data stack including Kinesis, S3, Redshift, Athena, Glue
• SQL and Python programming languages and have a strong understanding of ETL and data modeling
• You have designed and developed data pipelines that process large amounts of structured and unstructured data
• You have built and maintained a highly scalable data infrastructure
• Extensive development experience with data modeling and working with data processing and transformation technologies like Apache Airflow and dbt
• You have implemented effective monitoring and testing solutions to ensure the smooth functioning of the data infrastructure.

Responsibilities:

• Contribute to any part of the data team and solve complex issues, including performance and stability issues
• Setting up complete pipelines that process large amounts of data to meet the needs of data analysts and business users.
• Coming up with effective monitoring solutions to ensure the smooth functioning of the data infrastructure.

About You

• You are outcome-focused and proactive. You have solved complex technical challenges to improve customer happiness, developer productivity, and system efficiency.
• You enjoy working in an inclusive, collaborative environment and mentoring team members when needed. You believe in achieving collective impact and that we are “better together”.
• You have customer empathy and are curious about how your work is going to impact a customer’s use case.
• You're excited to pitch in wherever the team needs help, from investigating issues and debugging together to supporting customers.
• You have successfully led and driven best practices related to code quality and testability across teams.