Our client is a mission-minded SaaS company headquartered in Austin that is building a new product to improve the way they deliver their solution to clients. This role focuses on the design, development, and deployment of our client's SaaS Platforms' Enterprise Datawarehouse & underlying Data Transformations. Applying a strong technical and data lifecycle understanding, this Engineer will partner with other Developers, Data Engineers, Data Scientists, and the DevOps Teams to create Data Science Platforms.
- Designing and developing schemas, attributes, facts, advanced report design, data aggregation, and advanced report services development. * Using tools including Web Intelligence, Report Services, Pentaho Spoon, and Report Services. * Providing well-documented, efficient and effective solutions to meet business needs. * Institutionalizing a Data Management Culture to support the company's scale initiatives. * Mapping data elements and attributes into the Enterprise Data Model. * Developing solutions with team members to implement defined and documented data requirements. * Learning new technologies and sharing your knowledge with the team. * Advocating for new features, new technologies and processes. * Prototyping ideas for discussion/demonstration. * Providing guidance on data security compliance initiatives. * Participating in code reviews.
- Experience with Agile development methodologies. * Working knowledge of Microsoft SQL Server, MySql, and/or PostgreSQL. * 5+ years' experience in reporting/analytic role with a focus on data transformation, ETL, and design. * Advanced SQL Development Skills. * Knowledge of dimensional database design. * Experience with Pentaho Spoon, Microsoft SQL Server Integration Services (SSIS), or other Enterprise Data Transformation Tools * Working Knowledge of Python and other automation technology frameworks is a plus. * Working Knowledge of Java is a bonus. * Experience with SAP Business Objects is a plus. * Experience with Sparx Systems Enterprise Architect or other Data Modeling Tools is desired. * Experience with Big Data Technologies including Amazon MapReduce, Hadoop, Cassandra, SAP Hana, Microsoft HDInsight, Amazon RedShift, Amazon Glue, and similar technology stacks.