Warehouse Team Manager overseeing daily warehouse operations in Dartford for a high - profile customer. Leading team performance and ensuring customer service excellence in a fast - paced environment.
About the role
- Senior Manager, Data & Analytics managing ETL workflows and data pipelines for healthcare customer service. Collaborating with teams to optimize marketing and operational strategies through data-driven decisions.
Responsibilities
- Design, develop, and maintain Extract/Transform/Load (ETL) workflows and large-scale data pipelines using Python, SQL (Structured Query Language), Hive, PySpark and BigQuery.
- Orchestrate, optimize, and deploy end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data using Hadoop, Cloud Composer, Airflow DAGs, and DataProc clusters.
- Implement CI/CD pipelines using GitHub and Jenkins to automate deployments and ensure high availability of data pipelines.
- Develop and deploy classification and regression models, uplift modeling and predictive analysis to optimize marketing, sales and operational strategies.
- Utilize feature engineering, model validation and hyperparameter tuning techniques to enhance model accuracy and robustness.
- Implement A/B testing frameworks and causal inference methods to assess and refine data-driven decisions.
- Design and implement Large Language Model (LLM)-based solutions for automated customer interactions, intelligent search, and content generation.
- Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging Vector Databases and embedding models for domain-specific knowledge retrieval.
- Develop prompt engineering strategies, supervised fine-tuning methodologies, and Agentic AI workflows to create adaptive and autonomous AI-driven solutions.
- Use shell scripting and scheduling tools like Zeke and Airflow to manage job execution and monitoring.
- Develop data dictionaries and metadata repositories to document data lineage and improve accessibility.
- Work closely with cross-functional teams, including business analysts, data scientists, and IT teams, to ensure seamless integration of data solutions.
- Create and manage data models to build interactive Tableau and Power BI dashboards to provide key insights to business users and management.
Requirements
- Requires Bachelor’s degree, in Engineering, Electronic Engineering, or a directly related field plus five (5) years of related professional experience.
- Must have five (5) years of experience with Python, SQL, Hive, Hadoop, PySpark, and BigQuery; utilizing Airflow and DataProc; utilizing the Google Cloud Platform (GCP), BigQuery, Cloud Storage, and Cloud Composer.
- Three (3) years of experience with CI/CD pipelines, including GitHub and Jenkins; machine learning, including classification, regression, uplift modeling, and predictive analytics.
- Two (2) years of experience with Generative AI (LLMs, RAG, Vector DBs, Prompt Engineering, Supervised Fine-Tuning, Agentic AI, etc.); Tableau and Power BI.
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