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The Senior Data Scientist will utilize machine learning techniques and statistical analysis to develop models for classification, forecasting, and regression using various tools and programming languages.

The Lead Data Engineer will oversee data engineering projects, utilizing Azure services and ensuring efficient data processing and management.

Lead the data engineering efforts focusing on ETL processes, data modeling, and database management using various tools and technologies.

The Sales Director will focus on acquiring new clients in the Insurance sector, manage sales strategies, and engage with CxO-level executives to drive business growth.

Design, develop, and optimize data pipelines and analytics solutions using Databricks and PySpark, ensuring data quality and compliance.

Seeking a Lead Quality Engineer to transform QA processes, focusing on test automation, CI/CD integration, and data quality assurance in a cloud environment.

Develop and maintain database solutions across multiple platforms, optimize PL/SQL procedures, and ensure database resiliency, monitoring, and troubleshooting.

Lead and coordinate projects to ensure timely delivery within scope and budget while managing resources, risks, and stakeholder expectations.

The Senior Lead Data Engineer is responsible for working with Azure data services, ETL pipelines, and cloud data architecture, particularly in financial services and digital banking environments, while also implementing CI/CD pipelines and automation practices.

Responsible for designing and maintaining enterprise-wide data architecture to support business intelligence and data warehouse efforts, including ETL development and data pipelines.