Data Engineer

Applicant must have a Bachelor s degree in Computer Science, Information Systems, or Information Technology and 5 years of progressive post-baccalaureate experience in the job offered or a related occupation. Experience must include:+ Data warehousing;+ ETL or ELT;+ Amazon Web Service (AWS) Cloud Services, including AWS S3, AWS Lambda, AWS EC2, AWS EMR or AWS Dynamo DB;+ Relational Database Management Systems (RDBMS), such as Oracle, Teradata, SQL Server or Snowflake;+ Database Development with writing stored procedures, functions, triggers, cursors or SQL queries;+ Hadoop, HDFS, Hive or Spark;+ Programming languages, including Java or Python;+ Business Intelligence Tools, such as Tableau;+ Unix Shell scripting; and+ Version control systems, such as Git, Bitbucket or Github LI-DNPConverse, Inc. Boston, MA. Work closely with Project Management and Business teams to completely define specifications to ensure the project acceptance. Involved in preparation of functional and technical specifications with different cross teams. Lead team, defining solution options, providing estimates on effort and risk, and evaluating technical feasibility in Agile development process, including Scrum and Kanban. Work on troubleshooting data and analytics issues and perform root cause analysis to proactively resolve issues. Develop data extracts and feeds from the full spectrum of systems in the Converse ecosystem, including transactional ERP systems, POS data, product and merchandising systems. Engineer data products for a variety of Operations analytics use cases, ranging from reporting and data visualization to advanced analytics/machine learning use cases. Support designing technical specifications and data transformation models for junior developers. Ensure development is on track and meets specifications as defined by product management and the business. Responsible for data integrity of current platform and QA of new releases. Support the development and maintenance of backlog items and solution feature. Participate in sprint planning activities from a development perspective. Responsible for designing cloud-based data architecture using AWS stacks. Design and develop Python data science and data engineering libraries dealing with structured and unstructured data. Work with a variety of database types (SQL/No SQL, columnar, object-oriented) and diverse data formats. Responsible for ETL with Spark and building data pipelines/orchestrations in Airflow and working on ETL tools like Matillion. Responsible for Dev Ops toolchain and Continuous Development, Continuous Integration and Automated Testing using Jenkins. Ensure and use data engineering for advanced analytics/data science and Software development skills. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call and let us know the nature of your request, your location and your contact information.