Data Science Engineer

Job Description The Opportunity The Data Science Engineer will have a significant impact on driving our organizations digital evolution by collaborating with various teams. You will collaborate closely with product analytics and engineering teams to build construct and enhance scalable data pipelines and analytic solutions that generate insights into product usage. This position is highly data engineering oriented focusing on the collection integration and transformation of large and varied data sets from multiple platforms to support business intelligence product development and strategic decision-making. What youll Do You will be responsible for developing and maintaining analytics infrastructure including ETL pipelines and automated data quality tools. The ideal candidate will have a strong background in modern frameworks cloud platforms data technologies SQL Python and visualization tools including Power BI or addition you will apply strong communication skills and a customer-focused attitude to deliver effective solutions. Your key tasks will be collaborating with multi-functional teams to develop and refine adaptable data pipelines and analytical solutions. You will build connectors to a variety of API sources enabling the integration of diverse data sources and apply cloud-based platforms to perform advanced analytics while upholding rigorous standards for data quality and security. Projects will require you to actively contribute to planning solution design and deployment of analytic tools that drive and support business goals. Your efforts will ensure that the data infrastructure efficiently serves the evolving needs of the organization. What you need to succeed Bachelors Degree required Preferred in Computer Science or relevant experience 3 Years Experience with BS Experience with Python or equivalent Excel at partnering and collaborating with broad sets of engineering teams Experienced in developing data pipelines using Python SQL and Bash on Linux. Expertise working with Databricks Spark SQL Spark and DBFS systems. Proficient in orchestration tools like Airflow or Databricks Workflows. Experience deploying and managing services and applications on AWS and Azure Cloud platforms Application design and architecture with a drive for delivering data with high throughput and low latency Experience implementing and managing CI/CD pipelines using Jenkins or similar automation tools. Committed to finding solutions to challenges and enjoy creative problem solving Ability to solve problems collaboratively and build strong relationships Experience delivering quality process and outcomes Process oriented with strong attention to detail. Proficiency in managing and orchestrating containers using Kubernetes.