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
field
- At least 3-5 years of experience in data engineering
- Strong skills in programming
with data technologies such as Hadoop, Spark, and cloud-based platforms
- Knowledge of data modeling
modeling, data warehousing, and ETL processes
- Strong problem-solving skills and attention to detail
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
Data Scientist - Contract (Hybrid)
Purpose Statement
To drive remains competitive in a dynamic landscape where data science is a key strategic differentiator. To design Degree in Data Science
Preferred:
Responsibilities:
large datasets.
You will solve problems using data and machine learning techniques within various industries
/>
Data Quality Management:
Develop and implement a data quality framework
completeness, and consistency of data within Global Markets.
Establish data quality standards, metrics
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
/>Data Governance:
Implement data governance frameworks, including data attestation
attestation and data lineage, to ensure the integrity, security, and usability of data assets within Global Markets
I are constantly on the lookout for accomplished Data Engineers with strong academics, robust project experience