Work on the Data Solutions team as Developer to prototype new data services and build tools and creative data solutions for big enterprises.
The job traverses the realms of raw data ingest, ETL, storage, services, and on through the frontend where it may call for the construction of tools for nondevelopers to visualize, extract, and even manage data themselves.
br>br>The Solutions team is primarily focused on complex deal architectures with custom combinations of data and services.
We work on the most pivotal Enterprise partnerships at FullContact, but they often require some extra creativity and technical stitching to make them successful.
We develop point solutions for many of the clients, often acting at once as a 'lastmile' mechanism to enable them when they don't have the resources or time, but also as a leading edge for new product development.
br>br>Responsibilities br>br> Implement custom solutions for customersotential prospectsbr>br> Work with the clientrospect to understand the requirementbr>br> Work with product to prototype proof of conceptsbr>br> Create marketable derivative data elementsbr>br> Work as Engineering support for Analytics teambr>br> Steward customer and 3rd party data sets through our systemsbr>br> Create data solutions to help maintain close new business with customersbr>br> Compile analytics around internal and external data sets which are used for validation and provide an overall assessmentbr>br> Normalizing and aggregating dirty databr>br>Behavioural br>br> Strongly Customer Orientedbr>br> Proactive and persistent learnerbr>br> Capability and desire to help mentor intrainter teammatesbr>br> Strong written & verbal communication, frequently using documentation and diagrams, and aiming for conciseness and claritybr>br> Team player through and through with a willingness to jump into unfamiliar territories to support other teammatesbr>br>Role Requirements br>br> Bachelor's or Master's degree in Computer Science or a similar discipline.
br>br> Experience in implementing data workflowsbr>br> Experience in Solution design and implementationbr>br> Exposure to Machine Learning and Predictive Analyticsbr>br> Ability to analyse data and derive insights and experience in Big Data Technologiesbr>br> 3+ years of data engineering experiencebr>br> Programming experience in Python, Java or Scalabr>br> Experience in SparkHadoopbr>br> Experience in AWS and ideally with tooling such as EMR, S3, Athena, Kafkabr>br> Traditional RDBMS and SQL (MySQL, Postgres, Aurora, Athena, etc)br>br> Experience in building data pipelines and preferably with Airflowbr>br> Ability to handle project deliveries endtoend br>br>Bonus Understanding andor industry experience in the MarTechAdTech space