Data Warehouse Engineer

Job Title: Data Warehouse Engineer Location:  San Luis Obispo, Irvine, San Diego, San Francisco, CA & Remote Also... Duration: Contract Client: Tech Mahindra   Job Description: MINDBODY's Data Science department makes sense of our data world through meaningful and actionable insights, identifying trends, delivering reports, informing product and infrastructure advancements, and promoting a culture of data-driven decision making.   The Data Engineering (DE) branch of MINDBODY's Data Science department is focused on providing innovative and large-scale data platform solutions in a shared services model to support enterprise data needs of MindBody. This involves building data pipelines to pull together information from different source systems; integrating, consolidating and cleansing data; and structuring it for use in reporting and analytical applications. This team also architects distributed systems, data stores, and collaborates with data science teams in building right solutions for them. The data provided by DE team is used by data science team in supporting key functions and initiatives within Product Development, Business Development, Customer Experience/Success, Marketing and Sales at MindBody. Data Engineer III focuses on designing, implementing and supporting new and existing data solutions- data processing, and data sets to support various advanced analytical needs. you will be designing, building and supporting data pipelines consuming data from multiple different source systems and transforming it into valuable and insightful information. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions. The role will be part of a team supporting our Corporate, Sales, Marketing, and Consumer business lines. MINIMUM QUALIFICATIONS AND REQUIREMENTS: 7+ years of relevant experience in one of the following areas: Data engineering, business intelligence or business analytics 5-7 years of supporting a large data platform and data pipelining 5+ years of experience in scripting languages like Python etc. 5+ years of experience with AWS services including S3, Redshift, EMR, 5+ years of experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, etc.) Expertise in database design and architectural principles and methodologies Experienced in Physical data modeling Experienced in Logical data modeling Technical expertise should include data models, database design and data mining PRINCIPAL DUTIES AND RESPONSIBILITIES: Design, implement, and support a platform providing access to large datasets Create unified enterprise data models for analytics and reporting Design and build robust and scalable data integration (ETL) pipelines using SQL, Python, and Spark. As part of an Agile development team contribute to architecture, tools and development process improvements Work in close collaboration with product management, peer system, and software engineering teams to larify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture Coordinate data models, data dictionaries, and other database documentation across multiple applications Leads design reviews of data deliverables such as models, data flows, and data quality assessments Promotes data modeling standardization, defines and drives adoption of the standards Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata  
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