Design, develop, test, and maintain ETL/ELT solutions for the project

Create and maintain data integration processes and data pipelines using various API frameworks and Amazon Web Services tools

Tune database queries to optimize query performance

Collaborate with various groups and stakeholders to align reporting metrics and ensure data accuracy and integrity

Provide technical guidance and support to junior team members

Minimum of 3 years of experience in Data Software Engineering, with a focus on Snowflake solutions and data integration

Expertise in Amazon Web Services, and Python

Experience with REST API, and SQL

Strong experience in developing and maintaining data pipelines and ETL/ELT solutions using various API frameworks and Amazon Web Services tools

Experience in tuning database queries to optimize query performance

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

Strong problem-solving skills and the ability to work independently

Fluent spoken and written English at an upper-intermediate level or higher

Experience with Big Data technologies such as Hadoop, Spark, or Kafka

Experience with data warehousing and data modeling

Experience with containerization technologies such as Docker and Kubernetes

Knowledge of machine learning and data science concepts