Job description:
novi labs delivers world-class oil & gas forecasts via an end-to-end platform that leverages machine learning and data science. join our talented technical team to help us improve and expand our products and further solidify our market-leading position. benefits of working at novi labs small, talented teamhighly collaborative work environment high autonomy with true project ownershipsmall company with visibility into company decisions and prioritieseasy line-of-sight to how your contributions directly benefit customers role we are looking for a seasoned data engineer that has a passion for sound design and engineering practices and is adept at making reasoned short-term vs long-term trade-offs. in this role you will be leading the buildout of our next generation data and machine learning platform, while helping to support and transition from our current systems. this is a key role on a small team. to be successful, it will be important that you feel comfortable driving projects on your own, but also enjoy brainstorming and collaboration. what youll do here after joining novi, you'll collaborate hand in hand with our team of data scientists and etl specialists. together, we're charting a course towards establishing an innovative greenfield platform that will unlock the power of machine-learning powered analytics products. as a key member of our team, you'll play a pivotal role in cultivating a culture of engineering excellence. your responsibilities will encompass the establishment of standards and the integration of emerging technologies to uphold the zenith of software engineering practices in python. your expertise will contribute to the improvement of our existing analytics platform, encompassing the implementation of novel functionalities and the enhancement of both the scalability and reliability of our data transformation and storage. this will be achieved through precise profiling and optimization techniques, coupled with the strategic design of cloud computing solutions. if you're driven by the prospect of making a profound impact within a collaborative and forward-thinking environment, we invite you to join us at novi. together, we'll continue to elevate the benchmark of data-driven solutions while nurturing your professional growth and development. required skills & experience minimum of 5 years of experience building robust and scalable data pipelinesstrong foundation in software engineering principles in pythonknowledge of the pydata stack (e.g. pandas) that goes deeper than the apisexperience handling, storing and linking multi-modal data typesexperience with the full software development lifecycle (git, ci, docker, test, etc.)strong database knowledge (sql & nosql)strong cloud architecture skills - aws preferred desired skills & experience interest in data science or previous experience working on a data science teamexperience working with gis dataprevious work on an agile teamexperience working for a start-up or small company cultural fit at novi, the culture fit is as important as the technical fit. our team will be a great fit for you if you: have a positive attitude and a growth mindsetenjoy working on small, highly collaborative teamsare self-motivated to improve your technical capacitiesinfluence without authority via well-reasoned ideas and clear communicationare comfortable working cross-functionally to deliver customer impactenjoy team and company successes as much as your owntake ownership of deliverables with strong attention to detailare happy to task switch when necessary to help teams succeedenjoy knowing whats happening across the entire company more about novi professional work environment with a clear understanding of worklife balanceflexible leave policyheathdentalvision insurance401k

Resume:
<<summaryhighly motivated sales associate with extensive customer service and sales experience. outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. skills machine learning/data mining & nlp - linear regression, neural networks/deep learning, naive bayes, svm, logistic regression,decision trees, k-mean, knn, n- grams, edit distance, gradient descentstatistical programming & packages - r, python, numpy, matplotlib, scikit-learn, pandas, ggplot2, shiny, dplyr, caret, e1071,kerasbusiness intelligence & visualization - tableau, qlik view, qlik sense, excel, obieehadoop ecosystem components - spark, hive, sqoop, flume, kafka, impaladatabases - oracle, mysql, postgresqloracle erp & fusion middleware - oracle e-business suite 11i & r12, oracle soa, oracle service busother languages & tools - /sql, core java, scala, rstudio, jupyter, sqldeveloper, toad, atomcertifications - tableau, sql & pl/sql experience data science & data engineer intern, 01/2017-presentenvestnet– ,working on big data ingestion using sqoop for transferring data from multiple mysql database servers to transient storage in amazon emr hcatalog and using hive to transfer data to persistent storage in amazon s3 bucket -> developing sqoop and hive scripts for data ingestion -> using r and spark in amazon emr for filtering, exploring, analyzing, providing insights on data and developing reports.oracle technical consultant & data analyst, 02/2013- 07/2016first american corporation–city. -hoc requests , reporting and for analyzing large data sets -> designed er diagrams, conceptual models, logical and physical models, created database objects - tables, indexes, sequences and views -> developed oracle business intelligence reports, created and modified oracle database objects - tables, views and indexes which increased the performance of oracle business intelligence reports by 60% in production environment -> prepared sql.loader scripts for loading data from other systems into oracle erp system, worked with on-site business team in performing data fixes -> created pl/sql interfaces for doing business validation, transferring data between erp modules and loading data to base tables.data analyst intern, 11/2012- 01/2013cmc limited–city.indiagt; developed sql scripts, worked on oracle 11i database and oracle reports. education and trainingmaster of science:information systems,expected inaugust 2017-university of utah, david eccles school of business-salt lake city,utahgpa:status-information systems data science and analytics specialization -> recipient of $15,000 graduate fellowship from david eccles school of business academic capstone project - big data -> building statistical regression and classification models, cleaning, exploring data and developing interactive web interface using r shiny, which helps the company to classify clients loan type and predicting the amount of loan they will take in future kaggle - house prices predictions -> applied different machine learning simple and advanced models on housing predictors for predicting the sales prices of houses, used imputation methods for filling missing and null values in the data set independent study & research - apache spark using scala and python rajeev gandhi memorial college of engineering and technology indiabachelor of science:computer science and engineering,expected inmay 2012--,gpa:status-computer science and engineering designed `hand draw shape recognition' interface which helps the user to invoke desired application just by drawing the shape, , apache, big data, business intelligence, draw, clients, data mining, databases, database, e-business, edit, erp, filling, drawing, java, machine learning, excel, middleware, mysql, nlp, networks, neural, oracle, /sql, postgresql, programming, python, reporting, research, sales, servers, scripts, sql loader, tableau, tables, toad, type, validation, view.