SummaryInvolving in various projects related to Data Modeling, Data Analysis, Design and Development for Data warehousing environments. Practical understanding of the Data modeling (Dimensional Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables. Comprehensive knowledge and experience in process improvement, normalization de-normalization, data extraction, data cleansing, data manipulation. Exceptional troubleshooting skills with ETL Technologies. HighlightsHadoop, Hive, Avro, Kafka, MapReduce, Looker Programming Languages SQL, Java, Scala, PHP, Shell Script, HTML Database Tools Aster Database, PostgreSQL, MySQL Operating Systems Linux, Unix, Microsoft Windows Experience08 2012toCurrentData EngineerAvanade Greenville,NC,Experience with full development cycle of a Data Warehouse, including requirements gathering, design, implementation, and maintenance.Data modeling based on Kimball methodology, developed and architected ETL processes for different projects (RMA, inventory, purchase order etc.) Re-engineer some of the current ETL processes to streamline the data acquisition and integration process using our homegrown ETL tools.Built event-driven data pipeline that comprises multiple steps to gather high volume and velocity data from both push based and pull based sources, which includes design and implement web service to collect data (JSON object over http request), convert data in JSON format into Avro then feed into Kafka, land data in Kafka on Hadoop and Aster.Designed and built Looker API using Scala, which makes other teams access the data in data warehouse more easily and gracefully.Establish and maintain SQL queries and routines.Write ad-hoc queries based upon the schema understanding for diverse needs of our business users.02 2012to03 2012Java InternDominion Enterprises Fredericksburg,VA,Implemented code for small features bug-fixes in Java.06 2011to09 2011PHP DeveloperMeetoncruise City,STATE,Implemented the back-end logic using PHP.Utilized JQuery and AJAX to provide dynamic and interactive user interface.Designed and implemented data model in MySQL database to support the website. EducationExpected in2012totoMaster of Science Electrical and Computer EngineeringPolytechnic Institute of New York University,Brooklyn,NYGPA Electrical and Computer EngineeringExpected in2010totoBachelor of Science Automation EngineeringNanjing University of Aeronautics and Astronautics,Nanjing,JiangsuGPA Automation Engineering Skillsstreamline, ad, AJAX, API, data acquisition, Data modeling, data warehouse, Database, engineer, ETL, features, HTML, http, PHP, inventory, Java, JQuery, JSON, Linux, logic, access, Microsoft Windows, MySQL, Operating Systems, PostgreSQL, processes, Programming, requirements gathering, Shell Script, SQL, Unix, user interface, website  SEP  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.

ATS compatibility: Good Fit (score: 84.1)