Data Engineer II

Profile

LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You can build partnerships that move our business forward
You build code that is simple, understandable, and clean
You see feedback or failure as motivation to learn and to grow
You believe data-driven decision making is the norm
You relate to our core principles (
link
) and want to work with Conversational AI experts
We are looking for a savvy Data Engineer to help us build a single source of truth for all data that’s fully connected and version controlled. 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 candidate will collaborate with our software developers, database architects, and data scientists on projects ranging from ad hoc research to deploying and monitoring production machine learning models.
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. 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 re-designing our company’s data architecture to support our next generation of products and data initiatives.
In this role, you will:
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet a broad range of business requirements.
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data flows, and re-designing infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS-based ‘big data’ 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, Data, and Finance teams, to understand requirements and business impact and support related data infrastructures.
Professional qualifications:
Your qualifications are:
3 years of experience in a Data Engineer role working with databases, SQL, ETL
2 years of experience in public / private cloud
2 years of experience in development of Microservices, RESTful API, backend systems
Graduate degree in Computer Science, Statistics, or another quantitative field.
Experience using the following software/tools:
Data pipeline and workflow management tools: AWS Glue, Luigi, Airflow, etc.
Code repository and deployment pipelines - GIT and Docker, Kubernetes, Puppet
Relational SQL and NoSQL databases.
Bigdata Hadoop ecosystem: Hadoop, HBase, Spark, Kafka, Hive, Presto etc.
AWS-based cloud services: API Gateway, Lambda, Load Balancer, DynamoDB, Glue etc.
Stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a broad range of databases.
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 analytical skills related to working with unstructured or “dirty” datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Demonstrated ability to work closely with teammates in a highly collaborative environment and simultaneously be a self-starter with strong individual contributions.
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Company info

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