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:
<<professional summaryenergetic data engineer in developing robust code for high-volume businesses. strong decision-maker with 6 years of experience in data engineering and help firms in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. ability to translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. skills python 3.x, r, sqlhadoop, apache sparkhive, pig, kafka, sqoop, oozieteradata, snowflakeamazon s3,emr,lambdagit, jenkins, splunkms officemicrosoft visual c#.net work history data engineer, 04/2020tocurrentavanade– ,combining data from multiple source systems (profile, systematics, etc.) and multiple platforms (snowflake, onelake, hubs) and computing canonical gold-star metrics “once and for all” to cut operational costs.develop spark jobs to transform data and apply business transformation rules to load/process data across enterprise and application specific layers.experience in building/operating/maintaining fault tolerant and scalable data processing integrations using aws.configured s3 buckets with various life cycle policies to archive the infrequently accessed data based on requirement.good working experience on submitting the spark jobs which shows the metrics of the data which is used for data quality checking.working on building efficient data pipelines that transform high volume data into a format used for analytical, fraud prevention and ml use cases.extensively used splunk search processing language (spl) queries, reports, alerts and dashboards.excellent knowledge of source control management concepts such as branching, merging, /tagging and integration, with tool like git.performing data quality checks like row count, schema validation, hash key validation for all data movement between applications.data engineer, 08/2019to 04/2020avanade– ,responsible for designing and developing various analytical solutions for gaining analytical insights into large data sets by ingesting and transforming these datasets in the big data environment using technologies like spark, sqoop, oozie, hive.scheduling jobs to automate the process for regular executing jobs worked on using oozie.developed oozie workflow schedulers to run multiple hive and pig jobs that run independently with time and data availability.familiar with data architecture including data ingestion pipeline design, hadoop information architecture, data modeling and data mining,machine learning and advanced data processing.all the projects which i have worked for are open source projects and has been tracked using jira.parallel copying of files between various clusters using distcp, kafka in hadoop.data scientist intern, 09/2018to 12/2018ascend learning– ,acquire, clean, integrate, analyze and interpret disparate datasets using a variety of statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.developed linear mixed effects models for boston ed-fi dataset to estimate the teacher contribution to the student test scores.random intercept model which utilized a pre-post-test design and included fixed effects for student demographics and a growth model where students were nested by time (random slope and intercept) and teacher was tested.generated various clustering models for entire west virginia department of education and evaluated cluster’s performance.big data engineer, 01/2014to 07/2017verizon–.identify customer's digital analytical needs and engage with customer and principal architects daily, understand the business requirements for big data analytical solutions and break down large scale requirements into detailed system specifications.moving data to hdfs framework using sqoop from teradata, sql server.good working experience on hadoop tools related to data warehousing like hive, pig and also involved in extracting the data from these tools on to the cluster using sqoop.solved performance issues in hive with understanding of joins, groups, bucketing, partitions and working on them using hiveql.deployed programs written in pyspark to run spark mllib, for analytics and reduced customers churn rate by 25%. education master of science:business analytics,expected in4 2020tothe university of texas at dallas-richardson,txgpa: skills python 3.x, r, sqlhadoop, apache sparkhive, pig, kafka, sqoop, oozieteradata, snowflakeamazon s3,emr,lambdagit, jenkins, splunkms officemicrosoft visual c#.net.