Design and develop complex data software solutions using cutting-edge technologies

Collaborate with cross-functional teams to ensure seamless data flow and integration processes

Optimize and fine-tune data pipelines to ensure enhanced performance and scalability

Identify and troubleshoot data issues promptly to uphold data integrity

Provide technical guidance and mentorship to junior team members

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

A minimum of 3 years of experience in data software engineering, demonstrating your proficiency in designing and developing complex data software solutions

Expertise in Snowflake, Amazon Web Services, Python

Proficiency in REST API, SQL, Apache Hadoop, Apache Kafka, and Apache Spark

Experience working with large datasets and data pipelines

Strong understanding of data warehousing concepts and methodologies

Experience with data modeling and schema design

Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams

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

Experience with machine learning and data science concepts and methodologies

Experience with data visualization tools such as Tableau or Power BI