Engineer II, Software Development

Job Description

About the Role: Grade Level (for internal use): 09 Position titleAnalytics Engineer Shift Timings: 12 pm 9 pm Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. In 2017, we were acquired by IHS Markit. Position summary Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI. What Youll Do You will be part of our Analytics data engineering team. As part of this agile team, you will work in our cloud native environment to Partner with product in analysis and design of analytics projects/requirements as necessary. Organize and transform the data in a meaningful way and provide additional context as necessary so that it is ready for analysis. Assemble large, complex data sets that meet functional / non-functional business requirements, ensure build out of Data Dictionaries/data catalogue and detailed documentation and knowledge around these data assets, metrics and KPIs. Aid in the development and design of analytics projects as necessary. Create integrated views of data collected from multiple sources. Develop and use tools, algorithms, and processes for data mining and data visualization to generate reports to be used in decision making. Do exploratory research & analysis on data sets to build an understanding of the underlying data to be able to answer business questions. Collaborate with other members of the organization (business analysts, key stakeholders) as necessary so as to understand the business needs and effectively translate it into technical designs. Build & support data ingestion and processing pipelines. This will entail extract, load, and transform of big data from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies. Who you are 4+ years of experience in Big Data Analytics and Data Engineering. Strong problem solving, analytical and communication skills. Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing. Have basic experience in modern data platform components such as Spark, Python, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB. Experience with data pipeline/ETL and workflow management concepts. Should be able to convert business queries into technical documentation. Experience with Distributed Versioning Control environments such as GIT, Azure DevOps Bachelors or an advanced degree in Computer Science or related engineering discipline. Good to have some exposure to Good to have experience in one of the Cloud providers GCP, Azure, AWS. Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc. Agile software development methodologies. Working in multi-functional, multi-location teams