Senior Software Engineer, Data Product

Required

• Bachelor's degree (or equivalent) in Computer Science or a related field.
• A proven track record, with 5+ years of hands-on experience in architecting scalable API development, distributed system architecture, guiding projects from initial ideation through to successful production deployment.
• Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
• Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
• In-depth experience with data stores such as BigQuery and Postgres.
• Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT.
• Expertise in data processing technologies and streaming workflows including Dataflow, Spark, Kafka, and Flink.
• Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
• Proven ability in loading, querying, and transforming extensive datasets
• Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync.
• The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.
• We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.