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Senior Data Engineer – Remote


This is a Contract position in Wells, NV posted October 13, 2020.

Remote Data Engineer needed for technology company that allows Online Media to achieve the most from their work. This Jobot Job is hosted by Patrick Murray Are you a fit? Easy Apply now by clicking the “Apply Now” button and sending us your resume. Salary 100,000 – 150,000 A bit about us We are looking for a Data Engineer to help develop and own data solutions at our fast-paced Online Media and Ad Services and Revenue company. The Data Engineer role is an excellent opportunity for someone who wants to join a close-knit and smart team at a rapidly growing business. If you are a highly independent worker and have excellent organizational and problem-solving skills, this is the job for you. If you are a Data Engineer that can work remote, please apply today Why join us? Competitive salary Great benefits Career growth Modern, startup culture Friendly work environment Remote employment Long term learning opportunities Job Details The position will require extensive hands-on experience building and scaling data pipelines and corresponding data stores for reporting. We are looking for someone with experience using Airflow, AWS Glue, Google Cloud Platform Dataflow (Beam or Flink), Spark, andor data stores like Snowflake, Cassandra (or ScyllaDB) to join our Online Media and Ad Services and Revenue technology company Our Expected language competency would be in Python, Java, Scala, or R, with Ruby andor Go nice to have. Responsibilities Develop and maintain ETLELT processes at scale, handling hundreds of millions of records per day Write advanced SQL for data wrangling, as well as scheduled reporting and automated queries Perform data exploration and analytics with the goal of developing new insights and business value Help develop APIs and dashboards to surface data insights Qualifications 3 years of experience Hands-on implementation and maintenance of a large-scale, high-volume data pipeline Knowledge of programming language(s) for data processing, such as Python, Scala, R, and libraries and tools, such as Dataflow Experience with Ruby andor Go is preferred In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Druid, Cassandra), as well as analytics using BigQuery Familiarity with containers and related technologies, such as Docker and Kubernetes, and working with public cloud (e.g. AWS or Google Cloud Platform) Knowledge of machine learning and time-series forecasting methodologies Interested in hearing more? Easy Apply now by clicking the “Apply Now” button.

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