Data Engineer

Requirements 6+ years software engineering, including strong SQL and data focus Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka Ability to analyze complex datasets and design solutions with optimum quality and efficiency Familiarity with SDLC best practices, version control, CI/CD Description You will architect, develop, and test large scale and efficient solutions that provide Client leadership with the accurate data required to rapidly understand and adapt to changing business conditions. Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability Create data products, enabling self-service and predictability by any consumer Build libraries and frameworks that drive leverage and productivity for the entire team Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams. Preferred Qualifications BS or MS in Engineering/ Computer Science Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage. Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes).