Full Stack Developer
Job ID: 13883
Job Type: Full-time
Location:
Westlake Village,
CA
Date Posted: Aug 30, 2023
Job Description
Description
PURPOSE OF THE JOB
Data – Full Stack Developer will be responsible for qualitative and quantitative analysis of enterprise-wide data. Connect with business teams to capture and analyze business problems. Provide support on Self-Serve capabilities using Tableau and Redshift. Chosen candidate will be a visual designer and storyteller, building Tableau data sources, statistical and regression models to support applications and will be part of a team operationalizing the model outcomes into user facing applications. Candidate should be more business savvy than Data Science savvy and will be involved in translating to stakeholders, figuring out issues and helping them deliver data stories better, in addition to hands-on involvement with data engineering. Selected candidate will be affectively bridging the gap in communication between data scientists/ data engineers and stakeholders
RESPONSIBILITIES/DUTIES
· Knowledgeable in developing Tableau Dashboards and data models using custom sql, data extracts and real time integrations with Redshift data base
· 1 yrs. experience in full lifecycle implementation and support of BI solutions is a plus but not mandatory
· 1 year experience in design, development, testing, deploying and supporting data visualizations and analytics solutions using SQL on Amazon Redshift, Spectrum, Oracle DB as well as using Tableau, Kibana, Power BI and like tools is a plus but not mandatory
· Very strong SQL skills mandatory to be self-sufficient with data access on Data Lake
· Strong Python coding skills are required to be able to learn and contribute towards the ETL framework and Orchestration as well as ML OPS
· Hands on development and managing Data Catalog, Data Dictionary & Data Governance models is a must
· Hands on experience building regression, classification, Deep learning models and optimizing for high accuracy rates
· Experience in building unsupervised continuous learning models and work with data engineers to optimize and operationalize.
· Should be hands on with R or Sagemaker, Jupiter notebook or like platforms to analyze and build models
· Self-sufficient in handling large volumes of data with excellent SQL skills on columnar and relational data bases
· Eager to learn / get trained on new Time series data stores like Apache Pinot
· Familiarity or experience with Apache Pinot or like time series data store is a plus
· Exposure to AWS Lambdas, Kubernetes, Kubeflow, Airflow for orchestration is a plus but not mandatory
· Working knowledge on Operationalizing ML models through serverless architecture and support unsupervised continuous learning models is a plus
· Take over and scale our data models (Tableau, Dynamo DB, Kibana)
· Communicate data-backed findings to a diverse constituency of internal and external stakeholders
· Participate in technical decisions and collaborate with talented peers.
To join our band, you'll need the following experience:
· This is an entry level position and candidates with Comp Science or Data Science or Business Data Analytics Bachelors or master’s degree are suitable candidates
· Knowledge on public cloud environment like AWS and on-prem infrastructure is required
· Should be comfortable in writing complex queries on Redshift /Spectrum. Time Series data stores like Apache Pinot in a plus
· Advanced knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas.
Why join us?
With a career at Guitar Center, you become part of the world's largest multichannel musical instrument retailer. Whether at our Stores, Contact Centers, Distribution Centers, or Support Center, Guitar Center employees have a common goal: to help people find their sound and fill the world with more music.
Love this gig and want to apply?
Send your resume and cover letter today along with salary expectations!
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