Job description:
ror partners is a rapidly growing, client-driven digital marketing and data company. we offer proven marketing solutions to a variety of vertical industries on a nationwide basis. ror is seeking a principal data engineer to serve as a key data architect and team leader on our data engineering team. the successful candidate will have demonstrated deep understanding and passion for designing and implementing robust etl and elt data pipelines. position is remote and reports to the vp, engineering. salary is $170k to $195k and is determined by factors such as location, experience, and expertise. what you will dobuild, maintain, and administer our snowflake data warehouse using data build tool (dbt)implement and maintain data pipelines between various operational systems and our data warehouse using python, airflow and integration platformscreate and maintain documentation of data architecturecollaborate with internal and external stakeholders to ensure that data requirements are addressedmentor and lead other data engineering team members and participate in peer design and code reviewsship production-quality features independentlywork efficiently and productively in a remote-first work environmentcommunicate and collaborate effectively, both verbally and in writinglearn independently - keep up to date with developments in the field qualificationswhat we are looking forhistory of professional experience shipping production quality code independentlyability and desire to lead and mentor a team of data engineersexpertise with sql and cloud-based analytical data warehouses (snowflake preferred)expertise building end-to-end data pipelines using airflow and dbt (data build tool) or comparable technologiesdeep understanding of etl and elt patterns and best practicesstrong data modeling skills and familiarity with the kimball data warehousing methodologyexperience writing python code for data processingdesire to continually keep up with advancements in data engineering practicesexperience conducting design and code reviewsstrong analytical skills and independent learning styleexperience with git and use of the command line requiredexperience with aws and cloudformation, or comparable cloud services and iac tools preferredexperience with docker and docker compose preferredsubject matter familiarity with digital marketing and digital activation is preferred educationtrainingrequired: bs degree in computer science or related stem field experience8+ years of experience in data science, software engineering or related technical fields. ror partners is an equal opportunity employer. ror partners policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. ror partners also prohibits harassment of applicants and employees based on any of these protected categories. ror partners will provide accommodations to applicants as needed.

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.