Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses
Guide and lead development of data pipelines to enable real-time, high volume, data consumption
Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers
Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it
Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions
Provide ongoing operational support for ETL/ELT environments including development, test, and production
Design, implement, and deploy data loaders to load data into the cloud data platform
Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use
Mentoring junior members of the team

Requirements

Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas
5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
Extensive experience developing SQL based data processing
5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
Experience with Snowflake and Oracle Databases as well as Azure and ADLS
Experience in development & provisioning RESTful APIs to enable real-time data consumption
Experience with source control tools such as GitHub and related CI/CD processes
Technical expertise with pulling and massaging data
Great understanding of first/third party data
Agile Development methodology
Database Normalization
Advanced SQL skills
Understanding of data management principles and processes
Passion for data, analytics and pushing business innovation
Strategic thinker who loves technology and innovation
Excellent communication skills
Experience with Informatica IDMC (preferred)
Experience with GenAI and Natural Language Processing (NLP) frameworks (preferred)
Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) (preferred)
Unix / Linux Experience (preferred)
Experience with CI/CD practices (preferred)
Previous experience with DevOps (preferred)
Experience with Python / Java programming languages (preferred)
Experience with one or more enterprise scheduler (preferred)
Experience with AI-based testing, experimentation and prototyping (preferred)
Retail or CPG experience preferred

Benefits

competitive wages
flexible hours
associate discount
medical, dental and vision coverage
life and disability insurance
paid time off
paid holidays
401(k) plan
training and development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLSQLData ArchitectureData WarehouseData LakeData MartsRESTful APIsDatabase NormalizationPythonJava

Soft Skills

mentoringcommunicationstrategic thinkingpassion for datainnovation