Job description

Writing code as this is a senior engineer role; Provide the direction of our data engineering and architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built; Institute business intelligence best practices (i.e. dimensional modeling, ETL pipeline, large scale distributed ETL pipelines) to enable large-scale machine learning; Create and maintain analytics data pipelines that generates data + insight to power business decision making; Bootstrapping a data engineering team at an early stage in the team’s evolution; Analyze and organize raw data; Build data systems and pipelines; Evaluate business needs and objectives; Interpret trends and patterns; Conduct complex data analysis and report on results; Prepare data for prescriptive and predictive modeling; Build algorithms and prototypes; Combine raw information from different sources; Explore ways to enhance data quality and reliability; Identify opportunities for data acquisition; Develop analytical tools and programs; Collaborate with data scientists and architects on several projects; Refactor code into reusable libraries, APIs, and tools; Help us to shape the next generation of our company.
Requisitos Extensive knowledge of BI concepts (ETL, dimensional modeling, data warehouse design, dashboarding); Extensive knowledge of database query languages (SQL or its MPP equivalent), database design, optimizing queries, internals knowledge of query planning; Previous experience as a data engineer or in a similar role; Technical expertise with data models, data mining, and segmentation techniques; Knowledge of programming languages (e.g. Java and Python); Great numerical and analytical skills; Degree in Computer Science, IT, or relevant field; a Master’s is a plus; Solid experience in delivering Advance Analytics solution Data Warehousing, Big Data or Cloud; Strong foundation in software engineering principles and an architectural mindset; Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce; Deep knowledge of testing frameworks and libraries.
Desejável Extensive experience with event tracking or marketing lead tracking; Familiarity with MVC web development concepts and have a breadth of development experience; NLP; Productionize Machine Learning Code; Technical paper publications, conference speaking engagements; Management, coaching, or mentorship experience; Knowledge and practical experience of cloud based ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous; Understanding of infrastructure (including hosting, container based deployments and storage architectures) would be advantageous.

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