Senior Data Engineer (Snowflake)

Department/Project Description

Project aims to integrate a data-driven Markdown Optimization module and enhance Promotions Forecasting within clients' Price Index Management (PIM) to maximize gross profit, sell-through, and capture rate while maintaining price image. It will automate pricing recommendations based on inventory, generate accurate demand forecasts, and improve markdown/promotional strategies through user-friendly workflows.
GlobalLogic will develop the backend, data science, and UI/UX for this standalone application.

Job Responsibilities

• Build and maintain data pipelines adhering to the suggested enterprise architecture principles and guidelines
• Collect and manage data, converting it into useful information
• Work on the optimisation of partitioning and clustering for selected tables
• Implementation of data retention policies and removal of unused/dormand tables
• Work on the various optimisations
• Design, build, test, and maintain data management systems
• Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue
• Deliver quality deliverables on time
• Translate complex functional requirements into technical solutions.

Job Description

• 5+ years of experience in Data Engineering
• Creation and maintenance of optimum data pipeline architecture for the ingestion and processing of data
• Creation of necessary infrastructure for ETL jobs from a wide range of data sources
• Experience in Snowflake cost optimisation, query pruning, and performance tuning
• Experience in Data storage technologies
• Upper Intermediate level of English
• Experience with GCP
• Good experience developing ETL pipeline using DBT
• Good Communication skills
• Willing to learn new technologies, share your ideas and assist other team members as needed
• Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions