Job description:
the senior manager, data architecture & data engineering is responsible for translating business strategic goals into future-state data engineering and data science solutions. this includes delivery full life-cycle from execution roadmaps, to implementation, and to production operations. this role drives the creation and maintenance of enterprise data and analytics capabilities, data reference architectures, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.translate business strategic goals into actionable future-state data engineering and data science architectures and solutions.delivery of full life-cycle data solutions from execution roadmaps, to implementation, and to operations. this includes a specific focus on elt and etl data pipeline solutions from inception to production.lead end to end solution delivery of enterprise data warehouse, data marts, and data lake with governance.drive the creation and maintenance of enterprise data and analytics capabilities, data solutions, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.deliver architecture connecting data science, data engineering, and data analytics practices together to deliver impactful data products.strong partnership with devops, dataops, business partners, engineering teams, and data management.a minimum of ten (10) years of experience in it with a minimum (6) years in data architecture and data solutions are required.successful track-record in managing a team of data engineers and data scientistsskilled in hybrid cloud data platforms and analytical technologies including azure andor gcp data infrastructure, spark, data lake, data warehouse and data marts, bi reporting with powerbi, metadata management, data governance, master data management, data catalog, and business glossary.ability to document, communicate, implement, and operationalize complex architectures.experience with elt and etl data pipeline solutions from inception to production.proficient in sql, nosql and columnar databases.experience with sparkpyspark and json.excellent grasp of computer science fundamentals - data structures and algorithms.must have panda data frames knowledge and best practices, execution engines, dags (airflow, dagster, luigi, etc), and kubernetes.proficient with gitlabfamiliarity with azure data factory preferred, google data flow or aws glueexperience with biomedical informatics, s3azure blob store, machine learning and ai, unstructured data, and data democratization is preferred.experience with agile methodologies, kanban preferred, and using tools like jira and confluence to facilitate the work.bachelor's degree in computer science or a related discipline required. master's degree preferred. recruiters notes: the role will definitely be hands-on and will require excellent communication skills. the hiring manager mentioned the following technologies: aimachine learning; data warehouses; product support; cloud experienceazure; must be open to new technologies. working with the product development team. act as the point of contact; will create a group that helps the product teams. create data warehouses for analytics. must have excellent communication skills verbal and written. this person will envision strategy and must be able to effectively communicate that strategy to others. the organization has asked me not to advertise the compensation. if you contact me i would be more than willing to share it with you. for over 50 years this non-profit organization has made it their mission to protect patients from unsafe and ineffective medical technologies and practices. more than 5,000 healthcare institutions and systems worldwide including four out of every five u.s. hospitals rely on the services of this organization to guide their operational and strategic decisions. in addition, they serve public and private payers, federal and state agencies, policymakers, ministries of health, associations, and accrediting agencies. benefit from a healthy work-life balance while staying on the leading edge of technology and thriving in an innovative startup-like culture minus the risk. sleep well knowing you are helping achieve a world where safe, high-quality healthcare is accessible to everyone. excellent benefits to include work from home, flex-time and 19 days starting vacation. its a nice place to work!

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.