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Overview:We are seeking an experienced and highly skilled Data Engineer to join our client’s dynamic and innovative scalable data pipelines and infrastructure. This role requires a deep understanding of data engineering delivering high-quality, reliable, and efficient data solutions.
Key Responsibilities:<
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You'll Do:Design, Develop, and Optimize Data Pipelines
hospitality and entertainment industry is seeking a Data Engineer. In this role, you will manage projects into potential technology innovations, delivering a data architecture that supports future business growth including customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale of experience as a Data Engineer. Minimum of 3 years of experience building data pipelines including SSIS, data migration, and integration. Knowledge of building data dictionaries and dimensional data models
insurance industry is looking for an experienced Data Scientist to form part of their life and non-life
opportunity:
As a data scientist, you'll be instrumental in utilizing data to uncover valuable
with various teams, you'll craft inventive, data-centric solutions that tackle business hurdles and
develop robust data pipelines and infrastructure for structured and unstructured data.
Apply
seeking an experienced Data Engineer to join our data team and work closely with the Data Specialist to design
design, develop and implement efficient data pipelines to support business operations and decision-making
have strong technical skills in data management, experience in data integration, and a proven track record
record of delivering high-quality data solutions.
Key Responsibilities:
insurance clients is looking for an experienced Data Scientist to join their team. You will work with client is looking for someone that has ML and Big Data experience. We require a candidate with: BSc/BCom
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
excellent returns, is seeking a talented Data Engineer to join their data analytics team. They are committed maintain robust data pipelines using SQL and Microsoft Fabric