ringDNA is seeking a Data Engineer. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
This position is located in our Sherman Oaks, California headquarters and reports to the VP of Engineering.
What You'll Do
- Advanced SQL knowledge.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including MySQL, Postgres and Redis.
- Data pipeline and workflow management tools: Airflow, Azkaban, Luigi.
- AWS cloud services: EC2, EMR, RDS, Redshift, Glue.
- Stream-processing systems: Storm, Spark-Streaming.
- Programming languages: Python, Java, C++, Scala.
Who You Are:
- Create and maintain optimal data pipeline architecture to deliver reports to end-users and data scientists.
- Assemble large, complex data sets that meet business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and AWS technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Engineering, Data Science, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Who We Are:
RingDNA is the leading end-to-end sales engagement platform that combines enterprise-grade telephony with conversation intelligence. RingDNA helps teams engage with prospects and customers in the right way, at the right time, with the right context. Sales, support, and customer success teams use ringDNA to dramatically increase productivity, engage in smarter conversations, gain predictive insights, and coach reps to success faster than ever before.
RingDNA was named to the “Hot 100” best privately held software companies by JMP Securities. The company was also named “One of The Best Privately Owned Companies in America” by Entrepreneur magazine. We are proudly backed by Goldman Sachs who led our Series B round in 2018.